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R

r0 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
r1 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
r2 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
r3 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
R_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
rand(long[], double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(int[], double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(long, long, double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(int[], float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Generates a random matrix between min and max
rand(long[], float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(long, long, float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Generates a random matrix between min and max
rand(long, long, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the current time as the seed
rand(char, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random (uniform 0-1) NDArray with the specified shape and order
rand(int[], Distribution) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(int[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape using the current time as the seed
rand(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(char, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a random ndarray with the given shape and order
rand(char, long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
rand(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the current time as the seed
rand(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
 
rand(char, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape and array order
rand(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the current time as the seed
rand(char, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape and output order
rand(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using given seed
rand(int, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the given seed
rand(int[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the given RandomGenerator
rand(int[], Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the given rng
rand(long[], Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the given rng
rand(int, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a random ndarray with the given shape using the given rng
rand(int[], double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Generates a random matrix between min and max
rand(long[], double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Generates a random matrix between min and max
rand(int, int, double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Generates a random matrix between min and max
rand(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a uniform distribution
rand(INDArray, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a uniform distribution
rand(INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a uniform distribution using the given RandomGenerator
rand(INDArray, Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from the given distribution
rand(INDArray, double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a uniform distribution using the given RandomGenerator
rand(int[], float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Generates a random matrix between min and max
rand(long[], float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
rand(long, long, float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Generates a random matrix between min and max
rand(long, long, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the current time as the seed
rand(char, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random (uniform 0-1) NDArray with the specified shape and order
rand(int[], Distribution) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(int[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
rand(int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the given rng
rand(long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
rand(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the current time as the seed
rand(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape using the current time as the seed
rand(char, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape, and specified output order
rand(char, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a random ndarray with the given shape and specified output order
rand(long, long, double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
rand(int[], double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
rand(long[], double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
randn(long, long, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal using the given rng
randn(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal using the current time stamp as the seed
randn(char, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Generate a random normal N(0,1) with the specified order and shape
randn(long, long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal using the specified seed
randn(int[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal using the given rng
randn(long[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
randn(char, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal using the current time stamp as the seed
randn(char, long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
randn(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal N(0,1) with the specified shape and
randn(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
randn(int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Random normal using the specified seed
randn(long[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
randn(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a normal distribution
randn(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the current time stamp as the seed
randn(long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
 
randn(char, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal N(0,1) with the specified shape and array order
randn(char, long[]) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal N(0,1) with the specified shape and array order
randn(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the specified seed
randn(long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the current time stamp as the seed
randn(char, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal N(0,1) with the specified shape and array order
randn(long, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the specified seed
randn(long, long, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the given rng
randn(int[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the given rng
randn(long[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Random normal using the given rng
randn(INDArray, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a normal distribution
randn(INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the given ndarray with random numbers drawn from a normal distribution utilizing the given random generator
randn(long, long, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal using the given rng
randn(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal (N(0,1)) using the current time stamp as the seed
randn(char, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal N(0,1), with specified output order
randn(long, long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal using the specified seed
randn(int[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal using the given rng
randn(long[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
randn(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal N(0,1) using the current time stamp as the seed
randn(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal N(0,1) using the current time stamp as the seed
randn(char, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal N(0,1) with the specified shape and order
randn(char, long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal N(0,1) with the specified shape and order
randn(int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal using the specified seed
randn(long[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Random normal using the specified seed
random - Variable in class org.datavec.api.io.filters.RandomPathFilter
 
random - Variable in class org.datavec.api.split.FileSplit
 
random - Variable in class org.datavec.image.transform.BaseImageTransform
 
RANDOM - Static variable in class org.nd4j.graph.OpType
 
random - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
 
Random - Interface in org.nd4j.linalg.api.rng
Random generation based on commons math.
RANDOM_CANDIDATE - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
RANDOM_ORDER - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
RANDOM_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
 
randomAction() - Method in interface org.deeplearning4j.rl4j.space.ActionSpace
 
randomAction() - Method in class org.deeplearning4j.rl4j.space.DiscreteSpace
 
randomBernoulli(double, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomBernoulli(double, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomBernoulli(double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomBernoulli(String, double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Bernoulli distribution, with the specified probability.
randomBernoulli(double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomBernoulli(String, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Bernoulli distribution, with the specified probability.
RandomBernoulli - Class in org.nd4j.linalg.api.ops.random.custom
Random bernoulli distribution: p(x=1) = p, p(x=0) = 1-p i.e., output is 0 or 1 with probability p.
RandomBernoulli() - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli
 
RandomBernoulli(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli
 
RandomBernoulli(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli
 
randomBernoulli(double, long...) - Static method in class org.nd4j.linalg.factory.Nd4j
Generate a random array according to a binomial distribution with probability p: i.e., values 0 with probability (1-p) or value 1 with probability p
randomBernoulli(double, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the specified array with values generated according to a binomial distribution with probability p: i.e., values 0 with probability (1-p) or value 1 with probability p
randomBinomial(int, double, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomBinomial(int, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Binomial distribution, with the specified number of trials and probability.
randomBinomial(String, int, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Binomial distribution, with the specified number of trials and probability.
randomBinomial(int, double, long...) - Static method in class org.nd4j.linalg.factory.Nd4j
Generate an array with random values generated according to a binomial distribution with the specified number of trials and probability
randomBinomial(int, double, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Fill the target array with random values generated according to a binomial distribution with the specified number of trials and probability
RandomBuffer(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
Pointer cast constructor.
RandomBuffer(long, long, LongPointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method allocates buffer of size * sizeof(Nd4jLong)
RandomBuffer(long, long, LongBuffer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
RandomBuffer(long, long, long[]) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
RandomBuffer(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
Pointer cast constructor.
RandomBuffer(long, long, LongPointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method allocates buffer of size * sizeof(Nd4jLong)
RandomBuffer(long, long, LongBuffer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
RandomBuffer(long, long, long[]) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
randomClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
randomCropTransform(int, int) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
randomCropTransform(long, int, int) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
RandomCropTransform - Class in org.datavec.image.transform
Randomly crops an image to a desired output size.
RandomCropTransform(int, int) - Constructor for class org.datavec.image.transform.RandomCropTransform
 
RandomCropTransform(long, int, int) - Constructor for class org.datavec.image.transform.RandomCropTransform
 
RandomCropTransform(Random, long, int, int) - Constructor for class org.datavec.image.transform.RandomCropTransform
 
RandomDataSetIterator - Class in org.deeplearning4j.datasets.iterator
RandomDataSetIterator: Generates random values (or zeros, ones, integers, etc) according to some distribution.
Note: This is typically used for testing, debugging and benchmarking purposes.
RandomDataSetIterator(int, long[], long[], RandomDataSetIterator.Values, RandomDataSetIterator.Values) - Constructor for class org.deeplearning4j.datasets.iterator.RandomDataSetIterator
 
RandomDataSetIterator(int, long[], long[], RandomDataSetIterator.Values, RandomDataSetIterator.Values, char, char) - Constructor for class org.deeplearning4j.datasets.iterator.RandomDataSetIterator
 
RandomDataSetIterator.Values - Enum in org.deeplearning4j.datasets.iterator
 
randomDoubleBetween(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
randomDoubleBetween(double, double) - Static method in class org.nd4j.linalg.util.MathUtils
 
randomExponential(double, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Exponential distribution: P(x) = lambda * exp(-lambda * x)
randomExponential(double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a exponential distribution: P(x) = lambda * exp(-lambda * x)
randomExponential(String, double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a exponential distribution: P(x) = lambda * exp(-lambda * x)
RandomExponential - Class in org.nd4j.linalg.api.ops.random.custom
Random exponential distribution: p(x) = lambda * exp(-lambda * x)
RandomExponential() - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential
 
RandomExponential(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential
 
RandomExponential(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomExponential
 
randomExponential(double, long...) - Static method in class org.nd4j.linalg.factory.Nd4j
Exponential distribution: P(x) = lambda * exp(-lambda * x)
randomExponential(double, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Exponential distribution: P(x) = lambda * exp(-lambda * x)
randomFactory - Static variable in class org.nd4j.linalg.factory.Nd4j
 
RandomFactory - Class in org.nd4j.linalg.factory
This class acts as factory for new Random objects and thread-isolated holder for previously created Random instances
RandomFactory(Class) - Constructor for class org.nd4j.linalg.factory.RandomFactory
 
randomFloatBetween(float, float) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
randomFloatBetween(float, float) - Static method in class org.nd4j.linalg.util.MathUtils
 
randomGenerator - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
 
randomGlobalConf(double[]) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
randomize - Variable in class org.datavec.api.split.FileSplit
 
randomLogNormal(double, double, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomLogNormal(double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomLogNormal(String, double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Log Normal distribution, i.e., log(x) ~ N(mean, stdev)
RandomMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
RandomMultiDataSetIterator: Generates random values (or zeros, ones, integers, etc) according to some distribution.
Note: This is typically used for testing, debugging and benchmarking purposes.
RandomMultiDataSetIterator(int, List<Triple<long[], Character, RandomMultiDataSetIterator.Values>>, List<Triple<long[], Character, RandomMultiDataSetIterator.Values>>) - Constructor for class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator
 
RandomMultiDataSetIterator.Builder - Class in org.deeplearning4j.datasets.iterator
 
RandomMultiDataSetIterator.Values - Enum in org.deeplearning4j.datasets.iterator
 
randomNormal(double, double, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomNormal(double, double, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomNormal(double, double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomNormal(String, double, double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Gaussian (normal) distribution, N(mean, stdev)
See SameDiff.randomNormal(String, double, double, long...) for the equivalent function where the shape is specified as a long[] instead
randomNormal(double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomNormal(String, double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Gaussian (normal) distribution, N(mean, stdev)
See SameDiff.randomNormal(String, double, double, SDVariable) for the equivalent function where the shape is specified as a long[] instead
RandomNormal - Class in org.nd4j.linalg.api.ops.random.custom
Random normal distribution
RandomNormal() - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomNormal
 
RandomNormal(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.RandomNormal
 
randomNormalTruncated(double, double, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomNormalTruncated(double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomNormalTruncated(String, double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a Gaussian (normal) distribution, N(mean, stdev).
randomNumberBetween(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double, RandomGenerator) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double, Random) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double, double) - Static method in class org.nd4j.linalg.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double) - Static method in class org.nd4j.linalg.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double, RandomGenerator) - Static method in class org.nd4j.linalg.util.MathUtils
Generates a random integer between the specified numbers
RandomOp - Interface in org.nd4j.linalg.api.ops
 
RandomPathFilter - Class in org.datavec.api.io.filters
Randomizes the order of paths in an array.
RandomPathFilter(Random, String...) - Constructor for class org.datavec.api.io.filters.RandomPathFilter
Calls this(random, extensions, 0).
RandomPathFilter(Random, String[], long) - Constructor for class org.datavec.api.io.filters.RandomPathFilter
Constructs an instance of the PathFilter.
randomPermutation(int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Credit to mikio braun from jblas

Create a random permutation of the numbers 0, ..., size - 1.

RandomProjection - Class in org.nd4j.linalg.dimensionalityreduction
Created by huitseeker on 7/28/17.
RandomProjection(double, Random) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection
 
RandomProjection(double) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection
 
RandomProjection(int, Random) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection
 
RandomProjection(int) - Constructor for class org.nd4j.linalg.dimensionalityreduction.RandomProjection
 
RandomProjectionLSH - Class in org.deeplearning4j.clustering.lsh
This class implements Entropy LSH for the cosine distance, in order to preserve memory for large datasets.
RandomProjectionLSH(int, int, int, double) - Constructor for class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
RandomProjectionLSH(int, int, int, double, Random) - Constructor for class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
Creates a locality-sensitive hashing index for the cosine distance, a (d1, d2, (180 − d1)/180,(180 − d2)/180)-sensitive hash family before amplification
RandomRouter - Class in org.nd4j.parameterserver.distributed.logic.routing
Basic implementation for ClientRouter: we route each message to random Shard
RandomRouter() - Constructor for class org.nd4j.parameterserver.distributed.logic.routing.RandomRouter
 
RandomSearchGenerator - Class in org.deeplearning4j.arbiter.optimize.generator
RandomSearchGenerator: generates candidates at random.
Note: if a probability distribution is provided for continuous hyperparameters, this will be taken into account when generating candidates.
RandomSearchGenerator(ParameterSpace<?>, Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator
 
RandomSearchGenerator(ParameterSpace<?>, Map<String, Object>) - Constructor for class org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator
 
RandomSearchGenerator(ParameterSpace<?>) - Constructor for class org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator
 
RandomSplit - Class in org.datavec.api.transform.split
Created by Alex on 5/03/2016.
RandomSplit() - Constructor for class org.datavec.api.transform.split.RandomSplit
 
RandomStandardNormal - Class in org.nd4j.linalg.api.ops.random.compat
This op is a wrapper for RandomNormal Op
RandomStandardNormal() - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
 
RandomStandardNormal(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
 
RandomStandardNormal(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
 
RandomStandardNormal(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
 
RandomStandardNormal(long[]) - Constructor for class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
 
randomUniform(double, double, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomUniform(double, double, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
randomUniform(double, double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomUniform(String, double, double, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a uniform distribution, U(min,max)
See SameDiff.randomUniform(double, double, long...) for the equivalent function where the shape is specified as a long[] instead
randomUniform(double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
randomUniform(String, double, double, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a new random SDVariable, where values are randomly sampled according to a uniform distribution, U(min,max)
See SameDiff.randomUniform(double, double, long...) for the equivalent function where the shape is specified as a SDVariable instead
RandomUtils - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
RandomUtils is a wrapper that supports all possible Random methods via the Math.random() method and its system-wide Random object.
RandomUtils() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
 
RandomWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This is Random-based walker for SequenceVectors-based DeepWalk implementation Original DeepWalk paper: http://arxiv.org/pdf/1403.6652v2
RandomWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
RandomWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
RandomWalkGraphIteratorProvider<V> - Class in org.deeplearning4j.graph.iterator.parallel
Random walk graph iterator provider: given a graph, split up the generation of random walks for parallel learning.
RandomWalkGraphIteratorProvider(IGraph<V, ?>, int) - Constructor for class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
 
RandomWalkGraphIteratorProvider(IGraph<V, ?>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
 
RandomWalkIterator<V> - Class in org.deeplearning4j.graph.iterator
Given a graph, iterate through random walks on that graph of a specified length.
RandomWalkIterator(IGraph<V, ?>, int) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
RandomWalkIterator(IGraph<V, ?>, int, long) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
Construct a RandomWalkIterator for a given graph, with a specified walk length and random number generator seed.
Uses NoEdgeHandling.EXCEPTION_ON_DISCONNECTED - hence exception will be thrown when generating random walks on graphs with vertices containing having no edges, or no outgoing edges (for directed graphs)
RandomWalkIterator(IGraph<V, ?>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
RandomWalkIterator(IGraph<V, ?>, int, long, NoEdgeHandling, int, int) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
Constructor used to generate random walks starting at a subset of the vertices in the graph.
range(double, double, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
range(double, double, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new variable with a 1d array, where the values start at from and increment by step up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]
range(String, double, double, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new variable with a 1d array, where the values start at from and increment by step up to (but not including) limit.
For example, range(1.0, 3.0, 0.5) will return [1.0, 1.5, 2.0, 2.5]
Range - Class in org.nd4j.linalg.api.ops.random.impl
Range Op implementation, generates from..to distribution within Z
Range() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range
 
Range(SameDiff, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Range
 
range(double[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns a subset of an array from 0 to "to"
range(double[], int, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns a subset of an array from 0 to "to" using the specified stride
range(double[], int, int, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns a subset of an array from 0 to "to" using the specified stride
range(int, int, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Generate an int array ranging from from to to.
range(long, long, long) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
range(int, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Generate an int array ranging from from to to.
range(long, long) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
rangeColumns(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the range (max-min) of the values
rangeOfLength(INDArrayIndex[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Create a range based on the given indexes.
rank(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
rank(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns the rank (number of dimensions, i.e., length(shape)) of the specified SDVariable as a 0D scalar variable
rank(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns the rank (number of dimensions, i.e., length(shape)) of the specified SDVariable as a 0D scalar variable
rank() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rank - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rank() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rank() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the rank of the ndarray (the number of dimensions).
rank - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo
 
Rank - Class in org.nd4j.linalg.api.ops.impl.shape
Rank function
Rank() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Rank
 
Rank(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Rank
 
rank(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
Gets the rank given the shape info buffer
rank(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
Gets the rank given the shape info buffer
rank(LongBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
 
rank(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
rank(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
rank(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Returns the rank portion of an information buffer
rank(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
rank(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
rank() - Method in class org.nd4j.nativeblas.Nd4jCpu.ShapeInformation
 
rank(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.ShapeInformation
 
rank(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Returns the rank portion of an information buffer
rank(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
rank(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
rank() - Method in class org.nd4j.nativeblas.Nd4jCuda.ShapeInformation
 
rank(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.ShapeInformation
 
RankClassificationResult - Class in org.deeplearning4j.nn.simple.multiclass
A RankClassificationResult is an abstraction over an activation matrix for ranking classes.
RankClassificationResult(INDArray) - Constructor for class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
Takes in just a classification matrix and initializes the labels to just be indices
RankClassificationResult(INDArray, List<String>) - Constructor for class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
Takes in a classification matrix and the labels for each column
rankFromShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
Return the rank for the given shape
rankFromShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
rankOf() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns rank of array
rankOf() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns rank of array
rankOf() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns rank of array
rankOf() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns rank of array
rankOf() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns rank of array
rankOf() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns rank of array
rarg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
The right argument for this function.
RateTimer - Interface in org.nd4j.jita.allocator.time
 
ratio - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
ratio - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
ratio - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
RationalTanh - Class in org.nd4j.linalg.api.ops.impl.transforms
Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
RationalTanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
RationalTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
Rational Tanh Derivative, as described at https://github.com/deeplearning4j/libnd4j/issues/351 Calculates dOut/dIn given input, not dL/dIn given dL/dOut and input
RationalTanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
RationalTanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
RationalTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
RationalTanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
RationalTanhDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
RationalTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
ravel - Variable in class org.datavec.codec.reader.BaseCodecRecordReader
 
RAVEL - Static variable in class org.datavec.codec.reader.BaseCodecRecordReader
 
ravel(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Flattens the array for linear indexing
ravel() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Flattens the array for linear indexing
ravel() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
ravel(char) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
ravel() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns a flattened version (row vector) of this ndarray
ravel(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns a flattened version (row vector) of this ndarray
RAW_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
RAW_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
RawComparator<T> - Interface in org.datavec.api.io
A Comparator that operates directly on byte representations of objects.
rd - Variable in class org.deeplearning4j.rl4j.space.DiscreteSpace
 
rddDataSetNumExamples - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
rddDataSetNumExamples - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
rddDataSetNumExamples - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
RDDMiniBatches - Class in org.deeplearning4j.spark.datavec
RDD mini batch partitioning
RDDMiniBatches(int, JavaRDD<DataSet>) - Constructor for class org.deeplearning4j.spark.datavec.RDDMiniBatches
 
RDDMiniBatches.MiniBatchFunction - Class in org.deeplearning4j.spark.datavec
 
RDDTrainingApproach - Enum in org.deeplearning4j.spark.api
Approach to use when training from a JavaRDD<DataSet> or JavaRDD<MultiDataSet>.
rddTrainingApproach - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
rddTrainingApproach - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
rddTrainingApproach(RDDTrainingApproach) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
The approach to use when training on a RDD<DataSet> or RDD<MultiDataSet>.
rddTrainingApproach - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
rddTrainingApproach(RDDTrainingApproach) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
The approach to use when training on a RDD<DataSet> or RDD<MultiDataSet>.
rddTrainingApproach - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
rdiv(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
rdiv(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
rdiv(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdiv(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdiv(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdiv(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdiv(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdiv(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Reverse division
rdiv(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Reverse division
rdiv(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdiv(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdiv(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdiv(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdiv(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdiv(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division with a scalar - i.e., (n / thisArrayValues)
rdiv(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division (number / ndarray)
rdiv(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division, elements wise.
rdiv(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division
rdiv(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast reverse division op.
rdivBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
RDivBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp
Division backprop operation.
RDivBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.RDivBpOp
 
RDivBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.RDivBpOp
 
rdivColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdivColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdivColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division of a column vector (copy)
rdivi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
rdivi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
rdivi(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdivi(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdivi(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdivi(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
rdivi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdivi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Reverse divsion (in place)
rdivi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Reverse division (in-place)
rdivi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdivi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdivi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdivi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdivi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdivi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place reverse division - i.e., (n / thisArrayValues)
rdivi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse in place division
rdivi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse divsion (in place).
rdivi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division (in-place)
rdiviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdiviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdiviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place reverse divison of a column vector
rdiviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdiviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdiviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place reverse division of a column vector
RDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
OldReverse Division operation
RDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
 
RDivOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
 
RDivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
 
rdivRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
rdivRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
rdivRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reverse division of a column vector (copy)
read(InputStream) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
read(InputStream) - Static method in class com.atilika.kuromoji.io.ByteBufferIO
 
read(InputStream) - Static method in class com.atilika.kuromoji.trie.DoubleArrayTrie
Load Stored data
read(char[], int, int) - Method in class org.ansj.util.AnsjReader
为了功能的单一性我还是不实现了
read() - Method in class org.datavec.api.util.ndarray.DataInputWrapperStream
 
read(InputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
read(DataInputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
read(DataInputStream) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
 
read(InputStream) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Write this buffer to the input stream.
read(ObjectInputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
read(ObjectInputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
 
read(File) - Method in class org.nd4j.linalg.api.ndarray.NdArrayJSONReader
Deprecated.
 
read(int) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
read(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
read(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
Raad an ndarray from an input stream
read(DataInputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
Read in an ndarray from a data input stream
read(DataInputStream) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
read(int, DataInputStream) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
read(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
read(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
read(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
read(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
read(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
read(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
read(Kryo, Input, Class<INDArray>) - Method in class org.nd4j.Nd4jSerializer
Reads bytes and returns a new object of the specified concrete opType.
read(DataInput) - Static method in class org.nd4j.parameterserver.model.SubscriberState
Read the subscriber state to the given DataInput in the order of: isMaster serverState totalUpdates streamId
read(Kryo, Input, Class<AtomicDouble>) - Method in class org.nd4j.primitives.AtomicDoubleSerializer
 
readArray(InputStream) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
readArray(InputStream) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
readArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
readArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
readAttributeAsFixedLengthString(String, int) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read string attribute from group path.
readAttributeAsJson(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read JSON-formatted string attribute from group path.
readAttributeAsString(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read string attribute from group path.
readBinary(File) - Static method in class org.nd4j.linalg.factory.Nd4j
Read a binary ndarray from the given file
readBinaryModel(File, boolean, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Read a binary word2vec file.
readCharacterDefinition(InputStream, String) - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
readCompressedByteArray(DataInput) - Static method in class org.datavec.api.io.WritableUtils
 
readCompressedString(DataInput) - Static method in class org.datavec.api.io.WritableUtils
 
readCompressedStringArray(DataInput) - Static method in class org.datavec.api.io.WritableUtils
 
readContent(DataInputStream, DataBuffer.Type, DataBuffer.Type) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
readCosts(InputStream) - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
readDataSet(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read data set as ND4J array from group path.
readDouble(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Parse a double from a byte array.
readDouble(byte[], int) - Static method in class org.datavec.api.records.IOUtils
Parse a double from a byte array.
readDouble(int, DataInputStream) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
readEnum(DataInput, Class<T>) - Static method in class org.datavec.api.io.WritableUtils
Read an Enum value from DataInput, Enums are read and written using String values.
reader - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
ReaderBaseProtos - Class in org.tensorflow.framework
 
ReaderBaseState - Class in org.tensorflow.framework
For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseState.Builder - Class in org.tensorflow.framework
For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseStateOrBuilder - Interface in org.tensorflow.framework
 
readFields(DataInput) - Method in class org.datavec.api.conf.Configuration
 
readFields(DataInput) - Method in class org.datavec.api.formats.input.BaseInputFormat
 
readFields(DataInput) - Method in class org.datavec.api.formats.input.impl.CSVInputFormat
 
readFields(DataInput) - Method in class org.datavec.api.formats.input.impl.LineInputFormat
 
readFields(DataInput) - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
Deserialize the fields of this object from in.
readFields(DataInput) - Method in class org.datavec.api.writable.BooleanWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.BytesWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.ByteWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.DoubleWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.FloatWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.IntWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.LongWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.NDArrayWritable
Deserialize into a row vector of default type.
readFields(DataInput) - Method in class org.datavec.api.writable.NullWritable
 
readFields(DataInput) - Method in class org.datavec.api.writable.Text
deserialize
readFields(DataInput) - Method in interface org.datavec.api.writable.Writable
Deserialize the fields of this object from in.
readFields(DataInput) - Method in class org.datavec.hadoop.records.reader.mapfile.record.RecordWritable
 
readFields(DataInput) - Method in class org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable
 
readFields(DataInput) - Method in class org.datavec.image.data.ImageWritable
 
readFields(DataInput) - Method in class org.datavec.spark.functions.pairdata.BytesPairWritable
 
readFloat(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Parse a float from a byte array.
readFloat(byte[], int) - Static method in class org.datavec.api.records.IOUtils
Parse a float from a byte array.
readFloat(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Read a float from a data input stream Credit to: https://github.com/NLPchina/Word2VEC_java/blob/master/src/com/ansj/vec/Word2VEC.java
readFloat(int, DataInputStream) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
readFromBytes(byte[]) - Static method in class org.datavec.arrow.ArrowConverter
Read a datavec schema and record set from the given bytes (usually expected to be an arrow format file)
readFromDisk(File) - Static method in class org.nd4j.serde.binary.BinarySerde
Read an ndarray from disk
readFromFile(FileInputStream) - Static method in class org.datavec.arrow.ArrowConverter
Read a datavec schema and record set from the given arrow file.
readFromFile(File) - Static method in class org.datavec.arrow.ArrowConverter
Read a datavec schema and record set from the given arrow file.
readGraph(InputStream) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
 
readImage() - Method in class org.datavec.image.mnist.MnistImageFile
Reads the image at the current position.
readImage() - Method in class org.datavec.image.mnist.MnistManager
Reads the current image.
readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Reads the image at the current position.
readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Reads the current image.
readImagesUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Read the specified number of images from the current position, to a byte[nImages][rows*cols] Note that MNIST data set is stored as unsigned bytes; this method returns signed bytes without conversion (i.e., same bits, but requires conversion before use)
readImageUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
 
READING - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
READING_FEATURE - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
readingFeature - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
readInt(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Parse an integer from a byte array.
readjustToData() - Method in class org.datavec.image.mnist.draw.DrawReconstruction
 
readLabel() - Method in class org.datavec.image.mnist.MnistLabelFile
Reads the integer at the current position.
readLabel() - Method in class org.datavec.image.mnist.MnistManager
Reads the current label.
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
Reads the integer at the current position.
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Reads the current label.
readLabel(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
 
readLabels(int) - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
Read the specified number of labels from the current position
readLane - Variable in class org.nd4j.jita.allocator.impl.AllocationPoint
 
readLine() - Method in class org.ansj.util.AnsjReader
读取一行数据。ps 读取结果会忽略 \n \r
readLong(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Parse a long from a byte array.
readNumpy(InputStream, String) - Static method in class org.nd4j.linalg.factory.Nd4j
Read line via input streams
readNumpy(String, String) - Static method in class org.nd4j.linalg.factory.Nd4j
Read line via input streams
readNumpy(String) - Static method in class org.nd4j.linalg.factory.Nd4j
Read line via input streams
readObject(File) - Static method in class org.nd4j.linalg.util.SerializationUtils
 
readObject(InputStream) - Static method in class org.nd4j.linalg.util.SerializationUtils
Reads an object from the given input stream
readObjectFromFile(String, Class<T>, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readObjectFromFile(String, Class<T>, SparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readObjectFromFile(String, Class<T>, Configuration) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readObjectFromFile(String, Class<T>, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readObjectFromFile(String, Class<T>, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readOnly - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
readOnly(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
readOnly - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
readParagraphVectors(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectors(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectorsFromText(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
Use readParagraphVectors() method instead
readParagraphVectorsFromText(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
Use readParagraphVectors() method instead
readParagraphVectorsFromText(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
Use readParagraphVectors() method instead
readRaw(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
readRaw(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
readRaw(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
readRaw(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
readRaw(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
readRaw(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
readSequenceVectors(SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method loads previously saved SequenceVectors model from File
readSequenceVectors(SequenceElementFactory<T>, InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method loads previously saved SequenceVectors model from InputStream
readShapeFromDisk(File) - Static method in class org.nd4j.serde.binary.BinarySerde
This method returns shape databuffer from saved earlier file
readSparseArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
readSparseArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
readStream(InputStream) - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
readString(DataInput) - Static method in class org.datavec.api.io.WritableUtils
 
readString(DataInput) - Static method in class org.datavec.api.writable.Text
Read a UTF8 encoded string from in
readString(DataInputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Read a string from a data input stream Credit to: https://github.com/NLPchina/Word2VEC_java/blob/master/src/com/ansj/vec/Word2VEC.java
readStringArray(DataInput) - Static method in class org.datavec.api.io.WritableUtils
 
readStringFromFile(String, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readStringFromFile(String, SparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readStringFromFile(String, Configuration) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readStringFromFile(String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readStringFromFile(String, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readStringLine() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
readTokenInfo(InputStream) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
readTxt(String) - Static method in class org.nd4j.linalg.factory.Nd4j
Read line via input streams
readTxtString(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
Read line via input streams
readUnknown(DataInputStream, long) - Static method in class org.nd4j.linalg.compression.CompressedDataBuffer
Drop-in replacement wrapper for BaseDataBuffer.read() method, aware of CompressedDataBuffer
readUnknownDefinition(InputStream, String) - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
readUnsignedShort(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Parse an unsigned short from a byte array.
readVInt(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Reads a zero-compressed encoded integer from a byte array and returns it.
readVInt(DataInput) - Static method in class org.datavec.api.io.WritableUtils
Reads a zero-compressed encoded integer from input stream and returns it.
readVInt(byte[], int) - Static method in class org.datavec.api.records.IOUtils
Reads a zero-compressed encoded integer from a byte array and returns it.
readVInt(DataInput) - Static method in class org.datavec.api.records.IOUtils
Reads a zero-compressed encoded integer from a stream and returns it.
readVLong(byte[], int) - Static method in class org.datavec.api.io.WritableComparator
Reads a zero-compressed encoded long from a byte array and returns it.
readVLong(DataInput) - Static method in class org.datavec.api.io.WritableUtils
Reads a zero-compressed encoded long from input stream and returns it.
readVLong(byte[], int) - Static method in class org.datavec.api.records.IOUtils
Reads a zero-compressed encoded long from a byte array and returns it.
readVLong(DataInput) - Static method in class org.datavec.api.records.IOUtils
Reads a zero-compressed encoded long from a stream and return it.
readVocabCache(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method reads vocab cache from provided file.
readVocabCache(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method reads vocab cache from provided InputStream.
readVocabFromFile(String) - Static method in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
readWithType(DataInput) - Method in class org.datavec.api.writable.WritableFactory
Read a Writable From the DataInput, where the Writable was previously written using WritableFactory.writeWithType(Writable, DataOutput)
readWord2Vec(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
readWord2VecFromText(File, File, File, File, VectorsConfiguration) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method allows you to read ParagraphVectors from externally originated vectors and syn1.
readWord2VecModel(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
readWord2VecModel(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
readWord2VecModel(String, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
readWord2VecModel(File, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
realArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
 
RealDistributionDeserializer - Class in org.deeplearning4j.arbiter.optimize.serde.jackson
Created by Alex on 14/02/2017.
RealDistributionDeserializer() - Constructor for class org.deeplearning4j.arbiter.optimize.serde.jackson.RealDistributionDeserializer
 
RealDistributionSerializer - Class in org.deeplearning4j.arbiter.optimize.serde.jackson
Custom JSON serializer for Apache commons RealDistribution instances.
RealDistributionSerializer() - Constructor for class org.deeplearning4j.arbiter.optimize.serde.jackson.RealDistributionSerializer
 
RealDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
RealDivision operation
RealDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RealDivOp
 
RealDivOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RealDivOp
 
RealDivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RealDivOp
 
reallocate(long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Reallocate the native memory of the buffer
reallocate(long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Reallocate the native memory of the buffer
reallocate(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
reallocate(long) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
realMin - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
realMin - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
realMin - Variable in class org.deeplearning4j.plot.Tsne
 
RealQualityAddFunction - Class in org.datavec.api.transform.analysis.quality.real
Created by Alex on 5/03/2016.
RealQualityAddFunction() - Constructor for class org.datavec.api.transform.analysis.quality.real.RealQualityAddFunction
 
RealQualityAnalysisState - Class in org.datavec.api.transform.analysis.quality.real
Created by huitseeker on 3/6/17.
RealQualityAnalysisState(DoubleMetaData) - Constructor for class org.datavec.api.transform.analysis.quality.real.RealQualityAnalysisState
 
RealQualityMergeFunction - Class in org.datavec.api.transform.analysis.quality.real
Created by Alex on 5/03/2016.
RealQualityMergeFunction() - Constructor for class org.datavec.api.transform.analysis.quality.real.RealQualityMergeFunction
 
realStr - Variable in class org.ansj.util.Graph
 
rearMostLeftOverItem(LongPointer, LongPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Returns the prod of the data up to the given length
rearMostLeftOverItem(LongBuffer, LongBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
rearMostLeftOverItem(long[], long[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
rearMostLeftOverItem(LongPointer, LongPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Returns the prod of the data up to the given length
rearMostLeftOverItem(LongBuffer, LongBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
rearMostLeftOverItem(long[], long[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
reassemble(String) - Method in interface org.nd4j.aeron.ipc.chunk.ChunkAccumulator
Reassemble an ndarray message from a set of chunks Note that once reassemble is called, the associated chunk lists will automatically be removed from storage.
reassemble(String) - Method in class org.nd4j.aeron.ipc.chunk.InMemoryChunkAccumulator
Reassemble an ndarray message from a set of chunks Note that once reassemble is called, the associated chunk lists will automatically be removed from storage.
reassignExistingModel() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
rebuildTotals() - Method in class org.nd4j.linalg.primitives.Counter
 
recall(int) - Method in class org.deeplearning4j.eval.Evaluation
Returns the recall for a given label
recall(int, double) - Method in class org.deeplearning4j.eval.Evaluation
Returns the recall for a given label
recall() - Method in class org.deeplearning4j.eval.Evaluation
Recall based on guesses so far
Note: value returned will differ depending on number of classes and settings.
1.
recall(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average recall for all classes - can specify whether macro or micro averaging should be used NOTE: if any classes have tp=0 and fn=0, (recall=0/0) these are excluded from the average
recall(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the recall (tp / (tp + fn)) for the specified output
recall(long, long, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the recall from true positive and false negative counts
receive() - Method in class org.nd4j.camel.kafka.Nd4jKafkaConsumer
Receive an ndarray
receiveMessage(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This method saves incoming message to the Queue, for later dispatch from higher-level code, like actual TrainingFunction or VoidParameterServer itself
receiveMessage(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
This method accepts message from network
receiveMessage(VoidMessage) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
This method accepts message from network
receiveUpdate(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method accepts updates suitable for StepFunction and puts them to the queue, which is used in backpropagation loop PLEASE NOTE: array is expected to be ready for use and match params dimensionality
receiveUpdate(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method accepts updates suitable for StepFunction and puts them to the queue, which is used in backpropagation loop
receiveUpdate(INDArray) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method accepts updates suitable for StepFunction and puts them to the queue, which is used in backpropagation loop PLEASE NOTE: array is expected to be ready for use and match params dimensionality
reciprocal(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reciprocal(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise reciprocal (inverse) function: out[i] = 1 / in[i]
reciprocal(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise reciprocal (inverse) function: out[i] = 1 / in[i]
Reciprocal - Class in org.nd4j.linalg.api.ops.impl.transforms
Created by susaneraly on 3/28/18.
Reciprocal(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
Reciprocal() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
Reciprocal(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
Reciprocal(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
Reciprocal(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
recognition(Recognition) - Method in class org.ansj.domain.Result
调用一个发现引擎
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.AsianPersonRecognition
 
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.NewWordRecognition
 
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.NumRecognition
数字+数字合并,zheng
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.UserDefineRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.BookRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.DicRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.EmailRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.IDCardRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.NatureRecognition
进行最佳词性查找,引用赋值.所以不需要有返回值
recognition(List<String>) - Method in class org.ansj.recognition.impl.NatureRecognition
传入一组。词对词语进行。词性标注
recognition(List<String>, int) - Method in class org.ansj.recognition.impl.NatureRecognition
传入一组。词对词语进行。词性标注
recognition(Result) - Method in class org.ansj.recognition.impl.StopRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.SynonymsRecgnition
 
recognition(Result) - Method in class org.ansj.recognition.impl.TimeRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.UserDicNatureRecognition
 
Recognition - Interface in org.ansj.recognition
词语结果识别接口,用来通过规则方式识别词语,对结果的二次加工
recognition(Result) - Method in interface org.ansj.recognition.Recognition
 
recognition(Term[]) - Method in interface org.ansj.recognition.TermArrRecognition
 
reconstruct(INDArray, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Reconstructs the input.
ReconstructionDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Wraps a data applyTransformToDestination iterator setting the first (feature matrix) as the labels.
ReconstructionDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
reconstructionDistribution(ReconstructionDistribution) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
reconstructionDistribution(ParameterSpace<ReconstructionDistribution>) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
ReconstructionDistribution - Interface in org.deeplearning4j.nn.conf.layers.variational
The ReconstructionDistribution is used with variational autoencoders VariationalAutoencoder to specify the form of the distribution p(data|x).
reconstructionDistribution(ReconstructionDistribution) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
The reconstruction distribution for the data given the hidden state - i.e., P(data|Z).
This should be selected carefully based on the type of data being modelled.
reconstructionDistribution - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
reconstructionError(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Return the reconstruction error for this variational autoencoder.
NOTE (important): This method is used ONLY for VAEs that have a standard neural network loss function (i.e., an ILossFunction instance such as mean squared error) instead of using a probabilistic reconstruction distribution P(x|z) for the reconstructions (as presented in the VAE architecture by Kingma and Welling).
You can check if the VAE has a loss function using VariationalAutoencoder.hasLossFunction()
Consequently, the reconstruction error is a simple deterministic function (no Monte-Carlo sampling is required, unlike VariationalAutoencoder.reconstructionProbability(INDArray, int) and VariationalAutoencoder.reconstructionLogProbability(INDArray, int))
reconstructionLogProbability(INDArray, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Return the log reconstruction probability given the specified number of samples.
See VariationalAutoencoder.reconstructionLogProbability(INDArray, int) for more details
reconstructionProbability(INDArray, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Calculate the reconstruction probability, as described in An & Cho, 2015 - "Variational Autoencoder based Anomaly Detection using Reconstruction Probability" (Algorithm 4)
The authors describe it as follows: "This is essentially the probability of the data being generated from a given latent variable drawn from the approximate posterior distribution."

Specifically, for each example x in the input, calculate p(x).
reconstructionProbNumSamples - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
Record - Class in org.datavec.api.records.impl
A standard implementation of the Record interface
Record() - Constructor for class org.datavec.api.records.impl.Record
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
Load the record from the given DataInputStream Unlike ListStringRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Load the record from the given DataInputStream Unlike InMemoryRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Load the record from the given DataInputStream Unlike InMemorySequenceRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.misc.MatlabRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Load the record from the given DataInputStream Unlike TransformProcessRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
record(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Load the record from the given DataInputStream Unlike TransformProcessSequenceRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
record(URI, DataInputStream) - Method in interface org.datavec.api.records.reader.RecordReader
Load the record from the given DataInputStream Unlike RecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
Record - Interface in org.datavec.api.records
A Record contains a set of values for a single example or instance.
record(URI, DataInputStream) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
record - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader
 
record(URI, DataInputStream) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
record(INDArray) - Method in class org.deeplearning4j.rl4j.learning.HistoryProcessor
 
record(INDArray) - Method in interface org.deeplearning4j.rl4j.learning.IHistoryProcessor
 
record(URI, DataInputStream) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
RecordBatchListIterator(AbstractWritableRecordBatch) - Constructor for class org.datavec.api.writable.batch.AbstractWritableRecordBatch.RecordBatchListIterator
 
RecordConverter - Class in org.datavec.api.util.ndarray
 
RecordDetails() - Constructor for class org.datavec.api.timeseries.util.TimeSeriesWritableUtils.RecordDetails
 
recordEvent(String) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
recordEvent(BytePointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
recordEvent(String) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
recordEvent(BytePointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
RecordListener - Interface in org.datavec.api.records.listener
Each time a record is read or written, mainly used for debugging or visualization.
RecordLoadPairFunction - Class in org.datavec.spark.storage.functions
A simple function to prepare data during loading via SparkStorageUtils
RecordLoadPairFunction() - Constructor for class org.datavec.spark.storage.functions.RecordLoadPairFunction
 
recordLookahead - Variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
RecordMapper - Class in org.datavec.api.records.mapper
This takes data from a specified RecordReader and writes the data out with the specified RecordWriter.
RecordMapper() - Constructor for class org.datavec.api.records.mapper.RecordMapper
 
RecordMetaData - Interface in org.datavec.api.records.metadata
RecordMetaData includes details on the record itself - for example, the source file or line number.
It is used in conjunction with org.datavec.api.records.reader.RecordReaderMeta.
There are two primary uses:
(a) Tracking where a record has come from, for debugging purposes for example
(b) Loading the raw data again later, from the record reader
RecordMetaDataComposable - Class in org.datavec.api.records.metadata
A RecordMetaData instance that combines multiple individual RecordMetaData instances
RecordMetaDataComposable(RecordMetaData...) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataComposable
 
RecordMetaDataComposable(Class<?>, RecordMetaData...) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataComposable
 
RecordMetaDataComposableMap - Class in org.datavec.api.records.metadata
A RecordMetaData instance that combines multiple individual RecordMetaData instances, via a Map<String,RecordMetaData>
RecordMetaDataComposableMap(Map<String, RecordMetaData>) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataComposableMap
 
RecordMetaDataComposableMap(Class<?>, Map<String, RecordMetaData>) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataComposableMap
 
RecordMetaDataImageURI - Class in org.datavec.api.records.metadata
A RecordMetaDataURI that also keeps track of the number of channels, the width, and the height of the original image.
RecordMetaDataImageURI(URI, Class<?>, int, int, int) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataImageURI
 
RecordMetaDataIndex - Class in org.datavec.api.records.metadata
A general-purpose RecordMetaData implementation, with an index (long value)
Used for example in CollectionRecordReader and CollectionSequenceRecordReader
RecordMetaDataIndex() - Constructor for class org.datavec.api.records.metadata.RecordMetaDataIndex
 
RecordMetaDataInterval - Class in org.datavec.api.records.metadata
A general-purpose RecordMetaData implementation, with two indices (long values), generally forming an interval
RecordMetaDataInterval(long, long, URI) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataInterval
 
RecordMetaDataJdbc - Class in org.datavec.api.records.metadata
Record metadata to use with JDBCRecordReader.
RecordMetaDataJdbc(URI, String, List<? extends Object>, Class<?>) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataJdbc
 
RecordMetaDataLine - Class in org.datavec.api.records.metadata
A RecordMetaData instance for a line number, generall in a file
RecordMetaDataLine() - Constructor for class org.datavec.api.records.metadata.RecordMetaDataLine
 
RecordMetaDataLineInterval - Class in org.datavec.api.records.metadata
A RecordMetaData instance for an interval of line numbers, generally in a file
RecordMetaDataLineInterval() - Constructor for class org.datavec.api.records.metadata.RecordMetaDataLineInterval
 
RecordMetaDataURI - Class in org.datavec.api.records.metadata
A standard RecordMetaData instance that contains a URI only
RecordMetaDataURI(URI) - Constructor for class org.datavec.api.records.metadata.RecordMetaDataURI
 
recordRead(RecordReader, Object) - Method in class org.datavec.api.records.listener.impl.LogRecordListener
 
recordRead(RecordReader, Object) - Method in interface org.datavec.api.records.listener.RecordListener
Event listener for each record to be read.
recordReader - Variable in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
 
RecordReader - Interface in org.datavec.api.records.reader
Record reader
recordReader - Variable in class org.datavec.local.transforms.functions.RecordReaderFunction
 
recordReader - Variable in class org.datavec.spark.functions.RecordReaderFunction
 
recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
RecordReaderBytesFunction - Class in org.datavec.local.transforms.functions.data
RecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data (Collection<Writable>) using a RecordReader
RecordReaderBytesFunction(RecordReader) - Constructor for class org.datavec.local.transforms.functions.data.RecordReaderBytesFunction
 
RecordReaderBytesFunction - Class in org.datavec.spark.functions.data
RecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data (Collection<Writable>) using a RecordReader
RecordReaderBytesFunction(RecordReader) - Constructor for class org.datavec.spark.functions.data.RecordReaderBytesFunction
 
RecordReaderConverter - Class in org.datavec.api.records.converter
A utility class to aid in the conversion of data from one RecordReader to one RecordWriter, or from one SequenceRecordReader to one SequenceRecordWriter
RecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec
Record reader dataset iterator.
RecordReaderDataSetIterator(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Constructor for classification, where:
(a) the label index is assumed to be the very last Writable/column, and
(b) the number of classes is inferred from RecordReader.getLabels()
Note that if RecordReader.getLabels() returns null, no output labels will be produced
RecordReaderDataSetIterator(RecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Main constructor for classification.
RecordReaderDataSetIterator(RecordReader, int, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Constructor for classification, where the maximum number of returned batches is limited to the specified value
RecordReaderDataSetIterator(RecordReader, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Main constructor for multi-label regression (i.e., regression with multiple outputs)
RecordReaderDataSetIterator(RecordReader, WritableConverter, int, int, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Main constructor
RecordReaderDataSetIterator(RecordReaderDataSetIterator.Builder) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
RecordReaderDataSetIterator.Builder - Class in org.deeplearning4j.datasets.datavec
Builder class for RecordReaderDataSetIterator
RecordReaderFactory - Interface in org.datavec.api.records.reader.factory
Factory for creating RecordReader instance
RecordReaderFunction - Class in org.datavec.local.transforms.functions
RecordReaderFunction: Given a RecordReader and a file (via InputStream), load and parse the data into a Collection.
RecordReaderFunction(RecordReader) - Constructor for class org.datavec.local.transforms.functions.RecordReaderFunction
 
RecordReaderFunction - Class in org.datavec.spark.functions
RecordReaderFunction: Given a RecordReader and a file (via Spark PortableDataStream), load and parse the data into a Collection.
RecordReaderFunction(RecordReader) - Constructor for class org.datavec.spark.functions.RecordReaderFunction
 
RecordReaderFunction - Class in org.deeplearning4j.spark.datavec
Turn a string in to a dataset based on a record reader
RecordReaderFunction(RecordReader, int, int, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.RecordReaderFunction
 
RecordReaderFunction(RecordReader, int, int) - Constructor for class org.deeplearning4j.spark.datavec.RecordReaderFunction
 
RecordReaderMultiDataSetIterator - Class in org.deeplearning4j.datasets.datavec
RecordReaderMultiDataSetIterator: A MultiDataSetIterator for data from one or more RecordReaders and SequenceRecordReaders
The idea: generate multiple inputs and multiple outputs from one or more Sequence/RecordReaders.
RecordReaderMultiDataSetIterator.AlignmentMode - Enum in org.deeplearning4j.datasets.datavec
When dealing with time series data of different lengths, how should we align the input/labels time series? For equal length: use EQUAL_LENGTH For sequence classification: use ALIGN_END
RecordReaderMultiDataSetIterator.Builder - Class in org.deeplearning4j.datasets.datavec
 
RECORDS_PER_FILE_CONFIG - Static variable in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
RecordSavePrepPairFunction - Class in org.datavec.spark.storage.functions
A simple function to prepare data for saving via SparkStorageUtils
RecordSavePrepPairFunction() - Constructor for class org.datavec.spark.storage.functions.RecordSavePrepPairFunction
 
RecordUtils - Class in org.datavec.api.util
Create records from the specified input
RecordUtils() - Constructor for class org.datavec.api.util.RecordUtils
 
RecordWritable - Class in org.datavec.hadoop.records.reader.mapfile.record
Created by Alex on 29/05/2017.
RecordWritable() - Constructor for class org.datavec.hadoop.records.reader.mapfile.record.RecordWritable
 
recordWrite(RecordWriter, Object) - Method in class org.datavec.api.records.listener.impl.LogRecordListener
 
recordWrite(RecordWriter, Object) - Method in interface org.datavec.api.records.listener.RecordListener
Event listener for each record to be written.
RecordWriter - Interface in org.datavec.api.records.writer
Record writer
RecordWriterFactory - Interface in org.datavec.api.records.reader.factory
Factory for creating RecordWriter instance
RECTANGULAR - Static variable in class org.datavec.audio.dsp.WindowFunction
 
RectifedLinear - Class in org.nd4j.linalg.api.ops.impl.transforms
Rectified linear units
RectifedLinear(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(SameDiff, SDVariable, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifedLinear(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
RectifiedTanh - Class in org.nd4j.linalg.api.ops.impl.transforms
RectifiedTanh Essentially max(0, tanh(x))
RectifiedTanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
RectifiedTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
Rectified Tanh Derivative
RectifiedTanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
RectifiedTanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
RectifiedTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
RectifiedTanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
RectifiedTanhDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
RectifiedTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
recurrent(long) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
InputType for recurrent neural network (time series) data
recurrent(long, long) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
InputType for recurrent neural network (time series) data
recurrent(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
recurrent - Variable in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
recurrent - Variable in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
RECURRENT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
Weights for previous time step -> current time step connections
RECURRENT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.LSTMParamInitializer
Weights for previous time step -> current time step connections
RECURRENT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
RECURRENT_WEIGHT_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
RECURRENT_WEIGHT_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
Weights for previous time step -> current time step connections
recurrentConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
RecurrentLayer - Interface in org.deeplearning4j.nn.api.layers
Created by Alex on 28/08/2016.
recursive - Variable in class org.datavec.api.split.FileSplit
 
reduce(List<List<Writable>>) - Method in interface org.datavec.api.transform.stringreduce.IStringReducer
 
reduce(List<List<Writable>>) - Method in class org.datavec.api.transform.stringreduce.StringReducer
 
reduce(IAssociativeReducer) - Method in class org.datavec.api.transform.TransformProcess.Builder
Reduce (i.e., aggregate/combine) a set of examples (typically by key).
reduceBytesColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
reduceColumn(List<ReduceOp>, ColumnType, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
reduceColumn(List<Writable>) - Method in interface org.datavec.api.transform.reduce.ColumnReduction
Reduce a single column.
reducedBasis(double) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
Return a reduced basis set that covers a certain fraction of the variance of the data
reduceDoubleColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
reduceFloatColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
reduceIntColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
reduceLongColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
ReduceMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
This is special case PredicateOp, with opB being only either Accumulation, Variance or Reduce3 op
ReduceMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
 
ReduceMetaOp(ScalarOp, Accumulation, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
 
ReduceMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
 
ReduceMetaOp(ScalarOp, Accumulation) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
 
ReduceMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
 
reduceOp() - Method in interface org.datavec.api.transform.reduce.AggregableColumnReduction
Reduce a single column.
reduceOp() - Method in class org.datavec.api.transform.reduce.geo.CoordinatesReduction
 
reduceOp() - Method in class org.datavec.api.transform.reduce.impl.GeographicMidpointReduction
 
ReduceOp - Enum in org.datavec.api.transform
ReduceOp defines the type of column reductions that can be used when reducing a set of values to a single value.
Min: take the minimum value
Max: take the maximum value
Range: output the value max-min
Sum: Reduce by summing all values
Mean: Reduce by taking the arithmetic mean of the values
Stdev: Reduce by calculating the sample standard deviation
Count: Reduce by doing a simple count
CountUnique: Reduce by counting the number of unique values
TakeFirst: Take the first possible value in the list
TakeLast: Take the last possible value in the list
Note: For custom reduction operations with Reducer , use the AggregableColumnReduction functionality.
Reducer - Class in org.datavec.api.transform.reduce
A Reducer is used to take a set of examples and reduce them.
Reducer(List<String>, ReduceOp, Map<String, List<ReduceOp>>, Map<String, AggregableColumnReduction>, Map<String, Reducer.ConditionalReduction>, Set<String>) - Constructor for class org.datavec.api.transform.reduce.Reducer
 
Reducer.Builder - Class in org.datavec.api.transform.reduce
 
Reducer.ConditionalReduction - Class in org.datavec.api.transform.reduce
 
ReducerFunction - Class in org.datavec.local.transforms.reduce
Function for executing a reduction of a set of examples by key
ReducerFunction() - Constructor for class org.datavec.local.transforms.reduce.ReducerFunction
 
ReducerFunction - Class in org.datavec.spark.transform.reduce
Spark function for executing a reduction of a set of examples by key
ReducerFunction() - Constructor for class org.datavec.spark.transform.reduce.ReducerFunction
 
ReducerList(List<IAssociativeReducer>) - Constructor for class org.datavec.api.transform.serde.ListWrappers.ReducerList
 
ReduceSentenceCount - Class in org.deeplearning4j.spark.text.functions
 
ReduceSentenceCount() - Constructor for class org.deeplearning4j.spark.text.functions.ReduceSentenceCount
 
reduceSequence(IAssociativeReducer) - Method in class org.datavec.api.transform.TransformProcess.Builder
Reduce (i.e., aggregate/combine) a set of sequence examples - for each sequence individually.
reduceSequenceByWindow(IAssociativeReducer, WindowFunction) - Method in class org.datavec.api.transform.TransformProcess.Builder
Reduce (i.e., aggregate/combine) a set of sequence examples - for each sequence individually - using a window function.
ReduceSequenceByWindowTransform - Class in org.datavec.api.transform.sequence.window
Idea: do two things.
ReduceSequenceByWindowTransform(IAssociativeReducer, WindowFunction) - Constructor for class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
 
ReduceSequenceTransform - Class in org.datavec.api.transform.sequence
Reduce The values in each column in the sequence to a single value using a reducer.
ReduceSequenceTransform(IAssociativeReducer) - Constructor for class org.datavec.api.transform.sequence.ReduceSequenceTransform
 
reduceStringOrCategoricalColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
reduceStringOrCategoricalColumn(StringReduceOp, List<Writable>) - Static method in class org.datavec.api.transform.stringreduce.StringReducer
 
reduceTimeColumn(List<ReduceOp>, boolean, ColumnMetaData) - Static method in class org.datavec.api.transform.reduce.AggregableReductionUtils
 
REDUCTION - Static variable in class org.nd4j.graph.OpClass
 
reductionA(ComputationGraphConfiguration.GraphBuilder, int, String, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
reductionBroadcastableWithOrigShape(int, int[], SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Add 1s as required to the array make an array possible to be broadcast with the original (pre-reduce) array.
reductionIndexElementWiseStride(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Returns the element wise stride for this information buffer relative to a dimension and ordering for a reduction index
reductionIndexElementWiseStride(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
reductionIndexElementWiseStride(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
reductionIndexElementWiseStride(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Returns the element wise stride for this information buffer relative to a dimension and ordering for a reduction index
reductionIndexElementWiseStride(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
reductionIndexElementWiseStride(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
reductionIndexForLinear(int, int, int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Maps a linear index to a reduction index
reductionIndexForLinear(int, int, int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Maps a linear index to a reduction index
reductionIndexForTad(int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Map a tad to a reduction index.
reductionIndexForTad(int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Map a tad to a reduction index.
REFERENCED_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
referenceQueue - Static variable in class org.nd4j.linalg.factory.Nd4j
 
references() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Deprecated.
references() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
The referencers pointing to this buffer
references - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
references() - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
ReflectionUtils - Class in org.datavec.api.util
Deprecated.
ReflectionUtils - Class in org.nd4j.linalg.io
 
ReflectionUtils() - Constructor for class org.nd4j.linalg.io.ReflectionUtils
 
ReflectionUtils - Class in org.nd4j.util
General reflection utils
ReflectionUtils() - Constructor for class org.nd4j.util.ReflectionUtils
 
ReflectionUtils.FieldCallback - Interface in org.nd4j.linalg.io
 
ReflectionUtils.FieldFilter - Interface in org.nd4j.linalg.io
 
ReflectionUtils.MethodCallback - Interface in org.nd4j.linalg.io
 
ReflectionUtils.MethodFilter - Interface in org.nd4j.linalg.io
 
refQueue() - Static method in class org.nd4j.linalg.factory.Nd4j
The reference queue used for cleaning up ndarrays
refreshBuffer(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
refreshBuffer() - Method in class org.nd4j.nativeblas.Nd4jCpu.IGenerator
 
refreshBuffer(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
refreshBuffer() - Method in class org.nd4j.nativeblas.Nd4jCpu.Xoroshiro128
 
refreshBuffer() - Method in class org.nd4j.nativeblas.Nd4jCuda.IGenerator
 
refreshBuffer(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
refreshBuffer() - Method in class org.nd4j.nativeblas.Nd4jCuda.Xoroshiro128
 
refreshClusterCenter(Cluster, ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
refreshClustersCenters(ClusterSet, ClusterSetInfo, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
REGEX_PATTERN - Static variable in class org.datavec.image.loader.LFWLoader
 
RegexLineRecordReader - Class in org.datavec.api.records.reader.impl.regex
RegexLineRecordReader: Read a file, one line at a time, and split it into fields using a regex.
RegexLineRecordReader(String, int) - Constructor for class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
regexs - Variable in class org.datavec.api.records.reader.impl.csv.CSVRegexRecordReader
 
RegexSequenceRecordReader - Class in org.datavec.api.records.reader.impl.regex
RegexSequenceRecordReader: Read an entire file (as a sequence), one line at a time and split each line into fields using a regex.
RegexSequenceRecordReader(String, int) - Constructor for class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
RegexSequenceRecordReader(String, int, Charset, RegexSequenceRecordReader.LineErrorHandling) - Constructor for class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
RegexSequenceRecordReader.LineErrorHandling - Enum in org.datavec.api.records.reader.impl.regex
Error handling mode: How should invalid lines (i.e., those that don't match the provided regex) be handled?
FailOnInvalid: Throw an IllegalStateException when an invalid line is found
SkipInvalid: Skip invalid lines (quietly, with no warning)
SkipInvalidWithWarning: Skip invalid lines, but log a warning
register(cudaStream_t) - Method in class org.nd4j.jita.allocator.pointers.cuda.cudaEvent_t
 
Registerable - Interface in org.deeplearning4j.optimize.solvers.accumulation
 
registerAction(CudaContext, INDArray, INDArray...) - Method in interface org.nd4j.jita.allocator.Allocator
 
registerAction(CudaContext, INDArray, INDArray...) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
registerAction(CudaContext, INDArray, INDArray...) - Method in interface org.nd4j.jita.flow.FlowController
This method is called after operation was executed
registerAction(CudaContext, AllocationPoint, AllocationPoint...) - Method in interface org.nd4j.jita.flow.FlowController
 
registerAction(CudaContext, INDArray, INDArray...) - Method in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
registerAction(CudaContext, AllocationPoint, AllocationPoint...) - Method in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
registerAction(CudaContext, AllocationPoint, AllocationPoint...) - Method in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
registerAction(CudaContext, INDArray, INDArray...) - Method in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
registerAction(CudaContext, INDArray, INDArray...) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
registerAction(CudaContext, INDArray, INDArray...) - Method in interface org.nd4j.jita.handler.MemoryHandler
 
registerActionAllWrite(CudaContext, INDArray...) - Method in interface org.nd4j.jita.flow.FlowController
 
registerActionAllWrite(CudaContext, INDArray...) - Method in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
registerActionAllWrite(CudaContext, INDArray...) - Method in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class onnx.OnnxMlProto3
 
registerAllExtensions(ExtensionRegistry) - Static method in class onnx.OnnxMlProto3
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class onnx.OnnxOperatorsProto3
 
registerAllExtensions(ExtensionRegistry) - Static method in class onnx.OnnxOperatorsProto3
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class onnx.OnnxProto3
 
registerAllExtensions(ExtensionRegistry) - Static method in class onnx.OnnxProto3
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AllocationDescriptionProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.AllocationDescriptionProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ApiDefProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ApiDefProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.AttrValueProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.AttrValueProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.CostGraphProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.CostGraphProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.DeviceAttributesProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.DeviceAttributesProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.FunctionProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.FunctionProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.GraphProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.GraphTransferInfoProto
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.GraphTransferInfoProto
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.KernelDefProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.KernelDefProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.LogMemoryProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.LogMemoryProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.NodeProto
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.NodeProto
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.OpDefProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.OpDefProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ReaderBaseProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ReaderBaseProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.ResourceHandle
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.ResourceHandle
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.StepStatsProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.StepStatsProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.SummaryProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.SummaryProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorDescriptionProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorDescriptionProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorShapeProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorShapeProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TensorSliceProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TensorSliceProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.TypesProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.TypesProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VariableProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.VariableProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.framework.VersionsProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.framework.VersionsProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.util.IteratorProtos
 
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.util.IteratorProtos
 
registerAllExtensions(ExtensionRegistryLite) - Static method in class tensorflow.OpGenOverridesOuterClass
 
registerAllExtensions(ExtensionRegistry) - Static method in class tensorflow.OpGenOverridesOuterClass
 
registerClasses(Kryo) - Method in class org.nd4j.Nd4jRegistrator
 
registerConsumers(int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
registerConsumers(int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
registerConsumers(int) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.Registerable
This method notifies producer about number of consumers for the current consumption cycle
registerCustomLayer(String, Class<? extends KerasLayer>) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Register a custom layer
registerDefaultTaskCreatorClass(Class<? extends ParameterSpace>, Class<? extends TaskCreator>) - Static method in class org.deeplearning4j.arbiter.optimize.api.TaskCreatorProvider
 
registered - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
registerEvent(Pointer, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
registerEvent(Pointer, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
registerEvent(Pointer, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
registerFrame(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method adds Frame to tracking PLEASE NOTE: Only works for first call, subsequent calls are no-op
registerFrame(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
registerFrame(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
registerGraph(SameDiff) - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
This method stores given graph for future execution
registerGraph(SameDiff) - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
This method stores given graph for future execution
registerGraph(SameDiff) - Method in class org.nd4j.autodiff.execution.NativeGraphExecutioner
This method stores given graph for future execution
registerGraph(long, Pointer) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
 
registerGraph(long, Pointer) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
registerGraph(long, Pointer) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
 
registerGraph(long, Pointer) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
registerGraph(long, Pointer) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
registerGraphDouble(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
registerGraphDouble(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
registerGraphDouble(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
registerGraphFloat(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
registerGraphFloat(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
registerGraphFloat(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
registerGraphHalf(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
registerGraphHalf(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
registerGraphHalf(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
registerKryoClasses(SparkConf) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Register the DataVec writable classes for Kryo
registerLambdaLayer(String, SameDiffLambdaLayer) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Register a lambda layer
registerLegacyClassDefaultName(Class<? extends GraphVertex>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
registerLegacyClassDefaultName(Class<? extends Layer>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
registerLegacyClassDefaultName(Class<? extends InputPreProcessor>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
registerLegacyClassDefaultName(Class<? extends ReconstructionDistribution>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
registerLegacyClassDefaultName(Class<? extends IActivation>) - Static method in class org.nd4j.serde.json.LegacyIActivationDeserializer
 
registerLegacyClassDefaultName(Class<? extends ILossFunction>) - Static method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends GraphVertex>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends Layer>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends InputPreProcessor>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends ReconstructionDistribution>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends IActivation>) - Static method in class org.nd4j.serde.json.LegacyIActivationDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends ILossFunction>) - Static method in class org.nd4j.serde.json.LegacyILossFunctionDeserializer
 
registerLegacyCustomClassesForJSON(Class<?>...) - Static method in class org.datavec.api.transform.serde.JsonMappers
Register a set of classes (Transform, Filter, etc) for JSON deserialization.

This is required ONLY when BOTH of the following conditions are met:
1.
registerLegacyCustomClassesForJSON(List<Pair<String, Class>>) - Static method in class org.datavec.api.transform.serde.JsonMappers
Register a set of classes (Layer, GraphVertex, InputPreProcessor, IActivation, ILossFunction, ReconstructionDistribution ONLY) for JSON deserialization, with custom names.
Using this method directly should never be required (instead: use JsonMappers.registerLegacyCustomClassesForJSON(Class[]) but is added in case it is required in non-standard circumstances.
registerLegacyCustomClassesForJSON(Class<?>...) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Register a set of classes (Layer, GraphVertex, InputPreProcessor, IActivation, ILossFunction, ReconstructionDistribution ONLY) for JSON deserialization.

This is required ONLY when BOTH of the following conditions are met:
1.
registerLegacyCustomClassesForJSON(List<Pair<String, Class>>) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Register a set of classes (Layer, GraphVertex, InputPreProcessor, IActivation, ILossFunction, ReconstructionDistribution ONLY) for JSON deserialization, with custom names.
Using this method directly should never be required (instead: use NeuralNetConfiguration.registerLegacyCustomClassesForJSON(Class[]) but is added in case it is required in non-standard circumstances.
registerLegacyCustomClassesForJSONList(List<Class<?>>) - Static method in class org.datavec.api.transform.serde.JsonMappers
 
registerLegacyCustomClassesForJSONList(List<Class<?>>) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
registerOperationDouble(String, Nd4jCpu.DoubleDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationDouble(BytePointer, Nd4jCpu.DoubleDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationDouble(Nd4jCpu.DoubleDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationDouble(String, Nd4jCuda.DoubleDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationDouble(BytePointer, Nd4jCuda.DoubleDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationDouble(Nd4jCuda.DoubleDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationFloat(Nd4jCpu.FloatDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
This method registers operation
registerOperationFloat(String, Nd4jCpu.FloatDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationFloat(BytePointer, Nd4jCpu.FloatDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationFloat(Nd4jCuda.FloatDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
This method registers operation
registerOperationFloat(String, Nd4jCuda.FloatDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationFloat(BytePointer, Nd4jCuda.FloatDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationHalf(String, Nd4jCpu.HalfDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationHalf(BytePointer, Nd4jCpu.HalfDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationHalf(Nd4jCpu.HalfDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpRegistrator
 
registerOperationHalf(String, Nd4jCuda.HalfDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationHalf(BytePointer, Nd4jCuda.HalfDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerOperationHalf(Nd4jCuda.HalfDeclarableOp) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpRegistrator
 
registerScope(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleGraphState
This method adds scope to this state tracker
registerScope(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatGraphState
This method adds scope to this state tracker
registerScope(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfGraphState
This method adds scope to this state tracker
registerScope(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleGraphState
This method adds scope to this state tracker
registerScope(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatGraphState
This method adds scope to this state tracker
registerScope(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfGraphState
This method adds scope to this state tracker
registerStatsStorageListener(StatsStorageListener) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Add a new StatsStorageListener.
registerStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
registerStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
registerWritableType(short, Class<? extends Writable>) - Method in class org.datavec.api.writable.WritableFactory
Register a writable class with a specific key (as a short).
REGRESSION - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
REGRESSION - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliRunner
 
regression - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
regression(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Use this for single output regression (i.e., 1 output/regression target)
regression(int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Use this for multiple output regression (1 or more output/regression targets).
regression - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
REGRESSION_MULTI - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
REGRESSION_SCORE - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
REGRESSION_SCORE_MULTI - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
RegressionDataEvaluator - Class in org.deeplearning4j.arbiter.evaluator.multilayer
Created by agibsonccc on 3/12/17.
RegressionDataEvaluator() - Constructor for class org.deeplearning4j.arbiter.evaluator.multilayer.RegressionDataEvaluator
 
RegressionEvaluation - Class in org.deeplearning4j.eval
Evaluation method for the evaluation of regression algorithms.
Provides the following metrics, for each column:
- MSE: mean squared error
- MAE: mean absolute error
- RMSE: root mean squared error
- RSE: relative squared error
- PC: pearson correlation coefficient
- R^2: coefficient of determination See for example: http://www.saedsayad.com/model_evaluation_r.htm For classification, see Evaluation
RegressionEvaluation() - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
 
RegressionEvaluation(long) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with the specified number of columns, and default precision for the stats() method.
RegressionEvaluation(long, long) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with the specified number of columns, and specified precision for the stats() method.
RegressionEvaluation(String...) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with default precision for the stats() method
RegressionEvaluation(List<String>) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with default precision for the stats() method
RegressionEvaluation(List<String>, long) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with specified precision for the stats() method
RegressionEvaluation.Metric - Enum in org.deeplearning4j.eval
 
RegressionScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Calculate the regression score of the network (MultiLayerNetwork or ComputationGraph) on a test set, using the specified regression metric - RegressionEvaluation.Metric
RegressionScoreCalculator(RegressionEvaluation.Metric, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
RegressionScoreFunction - Class in org.deeplearning4j.arbiter.scoring.impl
Score function for regression (including multi-label regression) for a MultiLayerNetwork or ComputationGraph on a test set.
RegressionScoreFunction(RegressionEvaluation.Metric) - Constructor for class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
RegressionValue - Enum in org.deeplearning4j.arbiter.scoring
RelativeError - Class in org.nd4j.linalg.api.ops.impl.transforms
 
RelativeError(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
RelativeError(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
relativeInt(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
relative methods are made as workaround for lock-free concurrent execution
relativeInt(long, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method returns random int within [0..to]
relativeInt(long, int, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method returns random int within [from..to]
relativeInt(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
relative methods are made as workaround for lock-free concurrent execution
relativeInt(long, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method returns random int within [0..to]
relativeInt(long, int, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method returns random int within [from..to]
relativeSquaredError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
relativeTime(long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
relativeTime(long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
relativeUInt64(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method returns random T in range [from..to]
relativeUInt64(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method returns random T in range [from..to]
release(CAS) - Method in class org.datavec.nlp.uima.UimaResource
 
release(CAS) - Method in class org.deeplearning4j.text.uima.UimaResource
 
release(Pointer, MemoryKind) - Method in class org.nd4j.jita.memory.CudaMemoryManager
This method releases previously allocated memory chunk
release(Pointer, MemoryKind) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuMemoryManager
This method releases previously allocated memory chunk
release(Pointer, MemoryKind) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method releases previously allocated memory chunk
releaseLock() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
releaseNumpy(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
Thie method releases numpy pointer PLEASE NOTE: This method should be ONLY used if pointer/numpy array was originated from file
releaseNumpy(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
releaseNumpy(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
releaseToe() - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method requests release Toe status back to Tack.
RelErrorFn - Class in org.nd4j.autodiff.validation.functions
 
RelErrorFn() - Constructor for class org.nd4j.autodiff.validation.functions.RelErrorFn
 
ReliabilityDiagram - Class in org.deeplearning4j.eval.curves
Created by Alex on 05/07/2017.
ReliabilityDiagram(String, double[], double[]) - Constructor for class org.deeplearning4j.eval.curves.ReliabilityDiagram
 
reload(String) - Static method in class org.ansj.library.AmbiguityLibrary
刷新一个,将值设置为null
reload(String) - Static method in class org.ansj.library.CrfLibrary
刷新一个,将值设置为null
reload(String) - Static method in class org.ansj.library.DicLibrary
 
reload(String) - Static method in class org.ansj.library.StopLibrary
 
reload(String) - Static method in class org.ansj.library.SynonymsLibrary
刷新一个,将值设置为null
reloadConfiguration() - Method in class org.datavec.api.conf.Configuration
Reload configuration from previously added resources.
reloadLibrary(String) - Static method in class org.ansj.util.MyStaticValue
重置一个词典
relocatable - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
relocate(AllocationStatus, AllocationStatus, AllocationPoint, AllocationShape, CudaContext) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
Copies specific chunk of memory from one storage to another Possible directions: HOST -> DEVICE, DEVICE -> HOST
relocate(AllocationStatus, AllocationStatus, AllocationPoint, AllocationShape, CudaContext) - Method in interface org.nd4j.jita.handler.MemoryHandler
Relocates specific chunk of memory from one storage to another
relocateConstantSpace(DataBuffer) - Method in class org.nd4j.jita.constant.CudaConstantHandler
 
relocateConstantSpace(DataBuffer) - Method in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
PLEASE NOTE: This method implementation is hardware-dependant.
relocateConstantSpace(DataBuffer) - Method in class org.nd4j.linalg.cache.BasicConstantHandler
 
relocateConstantSpace(DataBuffer) - Method in interface org.nd4j.linalg.cache.ConstantHandler
PLEASE NOTE: This method implementation is hardware-dependant.
relocateObject(DataBuffer) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
relocateObject(DataBuffer) - Method in interface org.nd4j.jita.handler.MemoryHandler
 
relu(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
relu(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise rectified linear function with specified cutoff:
out[i] = in[i] if in[i] >= cutoff out[i] = 0 otherwise
relu(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise rectified linear function with specified cutoff:
out[i] = in[i] if in[i] >= cutoff out[i] = 0 otherwise
relu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
relu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
relu6(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
relu6(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise "rectified linear 6" function with specified cutoff:
out[i] = min(max(in, cutoff), 6)
relu6(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise "rectified linear 6" function with specified cutoff:
out[i] = min(max(in, cutoff), 6)
Relu6 - Class in org.nd4j.linalg.api.ops.impl.transforms
Rectified linear unit 6, i.e.
Relu6(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(SameDiff, SDVariable, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
Relu6(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
relu6(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
relu6(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
relu6Derivative(SDVariable, SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
Relu6Derivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
Derivative of Rectified linear unit 6, i.e.
Relu6Derivative(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative
 
Relu6Derivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative
 
ReluInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weight to: randn(shape) //N(0, 2/nIn);
ReluInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ReluInitScheme
 
reluLayer(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reluLayer(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
reluLayer(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
ReLU (Rectified Linear Unit) layer operation: out = relu(mmul(in,w) + bias)
Note that bias array is optional
ReluLayer - Class in org.nd4j.linalg.api.ops.impl.transforms
Composed op: relu((X, W) + b)
ReluLayer(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer
 
ReluUniformInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weight to: U(-sqrt(6/fanIn), sqrt(6/fanIn)
ReluUniformInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ReluUniformInitScheme
 
remainder(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
remainder(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
remainder(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
remainder(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
remainder(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
remainder(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
remainder(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
remainder(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
remainder(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Remainder operator
remainder(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Remainder operator
remainder(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
The scalar denominator
remainder(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
remainderi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
remainderi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
remainderi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
remainderi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
remainderi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place remainder
remainderi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place remainder
RemainderOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
Floating-point remainder operation
RemainderOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
RemainderOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
remainingCapacity() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
REMOTE_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
RemoteConnection() - Constructor for class org.nd4j.parameterserver.distributed.transport.RoutedTransport.RemoteConnection
 
RemoteConnectionBuilder() - Constructor for class org.nd4j.parameterserver.distributed.transport.RoutedTransport.RemoteConnection.RemoteConnectionBuilder
 
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
RemoteFileSource - Class in org.deeplearning4j.spark.data.loader
Generate a Source from a Hadoop-compatible filesystem
RemoteFileSource(String, FileSystem) - Constructor for class org.deeplearning4j.spark.data.loader.RemoteFileSource
 
RemoteFileSourceFactory - Class in org.deeplearning4j.spark.data.loader
 
RemoteFileSourceFactory() - Constructor for class org.deeplearning4j.spark.data.loader.RemoteFileSourceFactory
 
RemoteFusedGraphExecuteInfo - Class in org.tensorflow.framework
Protocol buffer representing a handle to a tensorflow resource.
RemoteFusedGraphExecuteInfo.Builder - Class in org.tensorflow.framework
Protocol buffer representing a handle to a tensorflow resource.
RemoteFusedGraphExecuteInfo.NodeType - Enum in org.tensorflow.framework
Protobuf enum tensorflow.RemoteFusedGraphExecuteInfo.NodeType
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto - Class in org.tensorflow.framework
Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder - Interface in org.tensorflow.framework
 
RemoteFusedGraphExecuteInfoOrBuilder - Interface in org.tensorflow.framework
 
RemoteFusedGraphExecuteInfoProto - Class in org.tensorflow.framework
 
remotePortTaken(String, int, int) - Static method in class org.nd4j.parameterserver.util.CheckSocket
Check if a remote port is taken
RemoteReceiverModule - Class in org.deeplearning4j.ui.module.remote
Used to receive UI updates remotely.
RemoteReceiverModule() - Constructor for class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
RemoteUIStatsStorageRouter - Class in org.deeplearning4j.api.storage.impl
Asynchronously post all updates to a remote UI that has remote listening enabled.
Typically used with UIServer (don't forget to enable remote listener support - UIServer.getInstance().enableRemoteListener()
RemoteUIStatsStorageRouter(String) - Constructor for class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Create remote UI with defaults for all values except address
RemoteUIStatsStorageRouter(String, int, long, double) - Constructor for class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
RemoteUIStatsStorageRouter(String, String, int, long, double) - Constructor for class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
remove(Object) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Removes entry identified by key from this trie (currently unsupported)
remove(String) - Static method in class org.ansj.library.AmbiguityLibrary
删除一个key
remove(String) - Static method in class org.ansj.library.CrfLibrary
删除一个key
remove(String) - Static method in class org.ansj.library.DicLibrary
 
remove(String) - Static method in class org.ansj.library.StopLibrary
 
remove(String) - Static method in class org.ansj.library.SynonymsLibrary
删除一个key
remove(String, String) - Static method in class org.ansj.library.SynonymsLibrary
从同义词组中删除掉一个词 [中国, 中华, 我国] -> remove(我国) -> [中国, 中华]
remove() - Method in class org.datavec.api.util.files.FileFromPathIterator
 
remove() - Method in class org.datavec.api.util.files.ShuffledListIterator
 
remove() - Method in class org.datavec.api.util.files.UriFromPathIterator
 
remove() - Method in class org.datavec.api.util.jdbc.ResettableResultSetIterator
 
remove(Object) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
remove(int) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
remove() - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch.RecordBatchListIterator
 
remove(Object) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
remove(int) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
remove(Object) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
remove(int) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
remove(Object) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
remove(int) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
remove() - Method in class org.deeplearning4j.aws.s3.reader.BucketIterator
 
remove() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.JointMultiDataSetIterator
PLEASE NOTE: This method is NOT implemented
remove() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
remove() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
remove() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
remove() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
remove() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
remove() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
remove(Object) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
remove() - Method in class org.deeplearning4j.parallelism.AsyncIterator
 
remove() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.text.corpora.treeparser.TreeIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
remove() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
remove(Object) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
remove() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
remove() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator
 
remove() - Method in class org.nd4j.linalg.api.iter.FlatIterator
 
remove() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator
 
remove() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator
 
remove(Object) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
remove(int) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
remove(Object) - Method in class org.nd4j.linalg.collection.IntArrayKeyMap
 
remove(Object) - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
remove(Object) - Method in class org.nd4j.linalg.collection.MultiDimensionalMap
Removes the mapping for a key from this map if it is present (optional operation).
remove(Object) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Removes the specified element from this applyTransformToDestination if it is present (optional operation).
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
remove() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
remove(Object) - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
remove(Object, Object) - Method in class org.nd4j.linalg.util.SynchronizedTable
 
remove(Object) - Method in class org.nd4j.list.BaseNDArrayList
 
remove(int) - Method in class org.nd4j.list.BaseNDArrayList
 
remove(Object) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
remove(int) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
remove(Object) - Method in class org.nd4j.list.NDArrayList
 
remove(int) - Method in class org.nd4j.list.NDArrayList
 
REMOVE_STOPWORDS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
removeAll(Collection<?>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
removeAll(Collection<?>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
removeAll(Collection<?>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
removeAll(Collection<?>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
removeAll(Collection<?>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
removeAll(Collection<?>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
removeAll(Collection<?>) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
removeAll(Collection<?>) - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
removeAll(Collection<?>) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Removes from this applyTransformToDestination all of its elements that are contained in the specified collection (optional operation).
removeAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList
 
removeAll(Collection<?>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
removeAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList
 
removeAllColumnsExceptFor(String...) - Method in class org.datavec.api.transform.TransformProcess.Builder
Remove all columns, except for those that are specified here
removeAllColumnsExceptFor(Collection<String>) - Method in class org.datavec.api.transform.TransformProcess.Builder
Remove all columns, except for those that are specified here
RemoveAllColumnsExceptForTransform - Class in org.datavec.api.transform.transform.column
Transform that removes all columns except for those that are explicitly specified as ones to keep To specify only the columns to remove, use RemoveColumnsTransform
RemoveAllColumnsExceptForTransform(String...) - Constructor for class org.datavec.api.transform.transform.column.RemoveAllColumnsExceptForTransform
 
removeAllListeners() - Method in interface org.deeplearning4j.api.storage.StatsStorage
Remove all listeners from the StatsStorage instance
removeAllListeners() - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
removeAllListeners() - Method in interface org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner
 
removeAllListeners() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
removeAllListeners() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
removeAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
removeArgFromFunction(String, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Remove an argument for a function.
removeAttr(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
removeAttr(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
Attributes specific to this function definition.
removeAttr(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
map<string, .tensorflow.AttrValue> attr = 2;
removeAttr(String) - Method in class org.tensorflow.framework.NodeDef.Builder
Operation-specific graph-construction-time configuration.
removeAttr(int) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
removeAttrDefault(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
removeAttribute(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
removeAttribute(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
removeAttrRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
removeClusterInfos(List<Cluster>) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
removeColumns(String...) - Method in class org.datavec.api.transform.TransformProcess.Builder
Remove all of the specified columns, by name
removeColumns(Collection<String>) - Method in class org.datavec.api.transform.TransformProcess.Builder
Remove all of the specified columns, by name
RemoveColumnsTransform - Class in org.datavec.api.transform.transform.column
Remove the specified columns from the data.
RemoveColumnsTransform(String...) - Constructor for class org.datavec.api.transform.transform.column.RemoveColumnsTransform
 
removeConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
removeConstraint(int) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
removeDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op
removeDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
removeDefaultWeights(Map<String, INDArray>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Remove weights from config after weight setting.
removeDevStats(int) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
removeDim(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
removeDim(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
removeDim(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
removeDuplicateStrings(String[]) - Static method in class org.nd4j.linalg.io.StringUtils
 
removeElement(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
removeElement(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
removeElement(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
removeElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
removeElement(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Removes element with specified label from vocabulary Please note: Huffman index should be updated after element removal
removeElement(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Removes specified element from vocabulary Please note: Huffman index should be updated after element removal
removeEmptyClusters(ClusterSetInfo) - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
removeEmptyClusters() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
removeEndpoint(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
removeEntry(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Remove an element of the ndarray
removeExample(List<Writable>) - Method in class org.datavec.api.transform.filter.BaseColumnFilter
 
removeExample(Writable) - Method in class org.datavec.api.transform.filter.BaseColumnFilter
Should the example or sequence be removed, based on the values from the specified column?
removeExample(Object) - Method in class org.datavec.api.transform.filter.ConditionFilter
 
removeExample(List<Writable>) - Method in class org.datavec.api.transform.filter.ConditionFilter
 
removeExample(Object) - Method in interface org.datavec.api.transform.filter.Filter
 
removeExample(List<Writable>) - Method in interface org.datavec.api.transform.filter.Filter
 
removeExample(Object) - Method in class org.datavec.api.transform.filter.FilterInvalidValues
 
removeExample(List<Writable>) - Method in class org.datavec.api.transform.filter.FilterInvalidValues
 
removeExample(Object) - Method in class org.datavec.api.transform.filter.InvalidNumColumns
 
removeExample(List<Writable>) - Method in class org.datavec.api.transform.filter.InvalidNumColumns
 
removeExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
removeFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
removeFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
removeGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
removeGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
removeGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
removeGraphs(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
removeGraphs(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
removeHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Remove a training hook from the worker
removeHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Remove a training hook from the worker
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Remove a training hook from the worker
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
Remove a training hook from the worker
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
removeIArgument(Integer) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
removeIArgument(Integer) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
removeIArgument(Integer) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
removeIArgument(Integer) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
removeIArgument(Integer) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
removeInArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
removeIndex(int[], int...) - Static method in class org.nd4j.linalg.util.ArrayUtil
Return a copy of this array with the given index omitted PLEASE NOTE: index to be omitted must exist in source array.
removeIndex(long[], int...) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
removeIndex(int[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Return a copy of this array with the given index omitted
removeIndex(long[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
removeIndex(Integer[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns the array with the item in index removed, if the array is empty it will return the array itself
removeInitializer(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
removeInitializer(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
removeInput(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
removeInput(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
removeInputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
removeInputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
removeInputArgument(INDArray) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
removeInputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
removeInputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
removeInputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
removeInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
removeInputRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
removeKey(T) - Method in class org.nd4j.linalg.primitives.Counter
This method removes given key from counter
removeLayersFromOutput(int) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Remove last "n" layers of the net At least an output layer must be added back in
removeLibrary(String) - Static method in class org.ansj.util.MyStaticValue
删除一个词典
removeListeners(StatusListener...) - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
removeListeners(StatusListener...) - Method in interface org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner
 
removeMemory(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
removeMetadataProps(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
removeMetadataProps(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
removeNode(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
removeNode(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
The nodes in the graph.
removeNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
removeNode(int) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
removeNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
removeNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
removeNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
removeNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
removeNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
removeNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
removeOp(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
removeOp(int) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
removeOp(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
removeOperator(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
removeOpsetImport(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
removeOpsetImport(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
removeOutArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
removeOutput(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
removeOutput(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
removeOutput(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
removeOutputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
removeOutputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
removeOutputArgument(INDArray) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
removeOutputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
removeOutputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
removeOutputArgument(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
removeOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
removeOutputLayer() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Helper method to remove the outputLayer of the net.
removeOutputRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
removePair(T, T) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
removePair(Pair<T, T>) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
removePoint(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Remove the point and return it
removePoints() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
removePoints() - Method in class org.deeplearning4j.clustering.cluster.Cluster
Clear out the ponits
removePoints() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
removeReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
removeReferencing(String) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Deprecated.
removeReferencing(String) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Remove the referenced id if it exists
removeReferencing(String) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
removeResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
removeRet(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
removeSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.filter.BaseColumnFilter
 
removeSequence(Object) - Method in class org.datavec.api.transform.filter.ConditionFilter
 
removeSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.filter.ConditionFilter
 
removeSequence(Object) - Method in interface org.datavec.api.transform.filter.Filter
 
removeSequence(List<List<Writable>>) - Method in interface org.datavec.api.transform.filter.Filter
 
removeSequence(Object) - Method in class org.datavec.api.transform.filter.FilterInvalidValues
 
removeSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.filter.FilterInvalidValues
 
removeSequence(Object) - Method in class org.datavec.api.transform.filter.InvalidNumColumns
 
removeSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.filter.InvalidNumColumns
 
removeShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
removeTArgument(Double) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
removeTArgument(Double) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
removeTArgument(Double) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
removeTArgument(Double) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
removeTArgument(Double) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
removeTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
removeTensors(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
removeTensors(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
removeTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
removeValue(int) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
removeValueInfo(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
removeValueInfo(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
removeVariantVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
removeVertex(String) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Intended for use with the transfer learning API.
removeVertex(String, boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Intended for use with the transfer learning API.
removeVertexAndConnections(String) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Remove specified vertex and it's connections from the computation graph
removeVertexKeepConnections(String) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Remove the specified vertex from the computation graph but keep it's connections.
RemoveWhiteSpaceTransform - Class in org.datavec.api.transform.transform.string
String transform that removes all whitespace charaters
RemoveWhiteSpaceTransform(String) - Constructor for class org.datavec.api.transform.transform.string.RemoveWhiteSpaceTransform
 
RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Arg
 
RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr
 
RENAME_TO_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
renameColumn(String, String) - Method in class org.datavec.api.transform.TransformProcess.Builder
Rename a single column
renameColumns(List<String>, List<String>) - Method in class org.datavec.api.transform.TransformProcess.Builder
Rename multiple columns
RenameColumnsTransform - Class in org.datavec.api.transform.transform.column
Rename one or more columns
RenameColumnsTransform(String, String) - Constructor for class org.datavec.api.transform.transform.column.RenameColumnsTransform
 
RenameColumnsTransform(List<String>, List<String>) - Constructor for class org.datavec.api.transform.transform.column.RenameColumnsTransform
 
render - Variable in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
render - Variable in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
RenderableComponent - Class in org.datavec.api.transform.ui.components
 
RenderableComponent(String) - Constructor for class org.datavec.api.transform.ui.components.RenderableComponent
 
RenderableComponentHistogram - Class in org.datavec.api.transform.ui.components
Created by Alex on 25/03/2016.
RenderableComponentHistogram(RenderableComponentHistogram.Builder) - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentHistogram
 
RenderableComponentHistogram.Builder - Class in org.datavec.api.transform.ui.components
 
RenderableComponentLineChart - Class in org.datavec.api.transform.ui.components
 
RenderableComponentLineChart() - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentLineChart
 
RenderableComponentLineChart.Builder - Class in org.datavec.api.transform.ui.components
 
RenderableComponentTable - Class in org.datavec.api.transform.ui.components
 
RenderableComponentTable() - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentTable
 
RenderableComponentTable(RenderableComponentTable.Builder) - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentTable
 
RenderableComponentTable(String[], String[][]) - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentTable
 
RenderableComponentTable(String, String[], String[][]) - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentTable
 
RenderableComponentTable.Builder - Class in org.datavec.api.transform.ui.components
 
renderHTML(Collection<Component>) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
Given the specified components, render them to a stand-alone HTML page (which is returned as a String)
renderHTML(Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
Given the specified components, render them to a stand-alone HTML page (which is returned as a String)
renderHTMLContent(Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
 
renderTree(boolean) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
 
renderTree() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
 
renderTree(boolean) - Method in class org.nd4j.linalg.profiler.data.StackAggregator
 
reorderColumns(String...) - Method in class org.datavec.api.transform.TransformProcess.Builder
Reorder the columns using a partial or complete new ordering.
ReorderColumnsTransform - Class in org.datavec.api.transform.transform.column
Rearrange the order of the columns.
ReorderColumnsTransform(String...) - Constructor for class org.datavec.api.transform.transform.column.ReorderColumnsTransform
 
ReorderColumnsTransform(List<String>) - Constructor for class org.datavec.api.transform.transform.column.ReorderColumnsTransform
 
repartionData(Repartition) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set if/when repartitioning should be conducted for the training data.
Default value: always repartition (if required to guarantee correct number of partitions and correct number of examples in each partition).
Repartition - Enum in org.deeplearning4j.spark.api
Enumeration that is used for specifying the behaviour of repartitioning in ParameterAveragingTrainingMaster (and possibly elsewhere.
repartition(JavaRDD<T>, int, int) - Method in interface org.deeplearning4j.spark.api.Repartitioner
 
repartition - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
repartition - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
repartition(JavaRDD<T>, int, int) - Method in class org.deeplearning4j.spark.impl.repartitioner.DefaultRepartitioner
 
repartition(JavaRDD<T>, int, int) - Method in class org.deeplearning4j.spark.impl.repartitioner.EqualRepartitioner
 
repartition(JavaRDD<T>, int, List<Tuple2<Integer, Integer>>) - Static method in class org.deeplearning4j.spark.impl.repartitioner.EqualRepartitioner
 
repartition(JavaRDD<T>, int, int) - Method in class org.deeplearning4j.spark.impl.repartitioner.NoOpRepartitioner
 
repartition - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Deprecated.
repartition - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
repartition(JavaRDD<T>, Repartition, RepartitionStrategy, int, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Repartition the specified RDD (or not) using the given Repartition and RepartitionStrategy settings
repartitionApproximateBalance(JavaRDD<T>, Repartition, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
 
repartitionBalanceIfRequired(JavaRDD<T>, Repartition, int, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Repartition a RDD (given the Repartition setting) such that we have approximately numPartitions partitions, each of which has objectsPerPartition objects.
repartitionData(Repartition) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
repartitionEqually(JavaRDD<T>, Repartition, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
 
Repartitioner - Interface in org.deeplearning4j.spark.api
Repartitioner interface: controls how data should be repartitioned before training.
repartitioner - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
repartitioner(Repartitioner) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Repartitioner to use to repartition data before fitting.
repartitioner - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
RepartitionStrategy - Enum in org.deeplearning4j.spark.api
RepartitionStrategy: different strategies for conducting repartitioning on training data, when repartitioning is required.
SparkDefault: repartition using Spark's standard RDD.repartition(int) method.
repartitionStrategy - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
repartitionStrategy - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
repartitionStrategy(RepartitionStrategy) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Used in conjunction with ParameterAveragingTrainingMaster.Builder.repartionData(Repartition) (which defines when repartitioning should be conducted), repartitionStrategy defines how the repartitioning should be done.
repartitionStrategy - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Deprecated.
repartitionStrategy(RepartitionStrategy) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
repartitionStrategy - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
repeat(SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
repeat(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
repeat(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
repeat(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
repeat(int, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
repeat(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
repeat(int, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
repeat(int, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Deprecated.
repeat(int, long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
Repeat - Class in org.nd4j.linalg.api.ops.impl.shape
Repeat function
Repeat(int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
Repeat(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
Repeat(INDArray[], INDArray[], List<Double>, List<Integer>, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
Repeat(INDArray[], INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
Repeat(SameDiff, SDVariable[], boolean, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
repeat(int, long...) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
repeat(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Create an n x (shape) ndarray where the ndarray is repeated num times
repeat(int, long...) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
repeat(int, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
create a new array by replicating current array by repeats times along given dimension dimension - dimension along which to repeat elements repeats - number of repetitions
repeat(int, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
repeat(int, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
repeat(int, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
fill target array by repeating current array dimension - dimension along which to repeat elements
repeat(int, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
create a new array by replicating current array by repeats times along given dimension dimension - dimension along which to repeat elements repeats - number of repetitions
repeat(int, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
repeat(int, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
repeat(int, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
fill target array by repeating current array dimension - dimension along which to repeat elements
repeat(int, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
create a new array by replicating current array by repeats times along given dimension dimension - dimension along which to repeat elements repeats - number of repetitions
repeat(int, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
repeat(int, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
repeat(int, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
fill target array by repeating current array dimension - dimension along which to repeat elements
repeat(int, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
create a new array by replicating current array by repeats times along given dimension dimension - dimension along which to repeat elements repeats - number of repetitions
repeat(int, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
repeat(int, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
repeat(int, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
fill target array by repeating current array dimension - dimension along which to repeat elements
repeat(int, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
create a new array by replicating current array by repeats times along given dimension dimension - dimension along which to repeat elements repeats - number of repetitions
repeat(int, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
repeat(int, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
repeat(int, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
fill target array by repeating current array dimension - dimension along which to repeat elements
repeat(int, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
create a new array by replicating current array by repeats times along given dimension dimension - dimension along which to repeat elements repeats - number of repetitions
repeat(int, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
repeat(int, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
repeat(int, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
fill target array by repeating current array dimension - dimension along which to repeat elements
RepeatVector - Class in org.deeplearning4j.nn.conf.layers.misc
RepeatVector layer configuration.
RepeatVector(RepeatVector.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.misc.RepeatVector
 
RepeatVector - Class in org.deeplearning4j.nn.layers
RepeatVector layer.
RepeatVector(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.RepeatVector
 
RepeatVector(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.RepeatVector
 
RepeatVector.Builder<T extends RepeatVector.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers.misc
 
repetitionFactor(int) - Method in class org.deeplearning4j.nn.conf.layers.misc.RepeatVector.Builder
Set repetition factor for RepeatVector layer
replace(String, String, String) - Static method in class org.nd4j.linalg.io.StringUtils
 
replace(int[], int, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Return a copy of this array with the given index omitted
replaceColumn(String...) - Method in class org.datavec.api.transform.stringreduce.StringReducer.Builder
Reduce the specified columns by taking the mean of the values
ReplaceEmptyIntegerWithValueTransform - Class in org.datavec.api.transform.transform.integer
Replace an empty/missing integer with a certain value.
ReplaceEmptyIntegerWithValueTransform(String, int) - Constructor for class org.datavec.api.transform.transform.integer.ReplaceEmptyIntegerWithValueTransform
 
ReplaceEmptyStringTransform - Class in org.datavec.api.transform.transform.string
Replace empty String values with the specified String
ReplaceEmptyStringTransform(String, String) - Constructor for class org.datavec.api.transform.transform.string.ReplaceEmptyStringTransform
 
ReplaceInvalidWithIntegerTransform - Class in org.datavec.api.transform.transform.integer
Replace an invalid (non-integer) value in a column with a specified integer
ReplaceInvalidWithIntegerTransform(String, int) - Constructor for class org.datavec.api.transform.transform.integer.ReplaceInvalidWithIntegerTransform
 
ReplaceNans - Class in org.nd4j.linalg.api.ops.impl.transforms
Element-wise "Replace NaN" implementation as Op
ReplaceNans(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
ReplaceNans(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
ReplaceNans(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
ReplaceNans() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
ReplaceNans(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
ReplaceNans(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
ReplaceNans(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
replacePointers(DoublePointer, LongPointer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
replacePointers(DoublePointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
replacePointers(DoubleBuffer, LongBuffer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
replacePointers(DoubleBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
replacePointers(double[], long[], boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
replacePointers(double[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
replacePointers(FloatPointer, LongPointer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
replacePointers(FloatPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
replacePointers(FloatBuffer, LongBuffer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
replacePointers(FloatBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
replacePointers(float[], long[], boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
replacePointers(float[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
replacePointers(ShortPointer, LongPointer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
replacePointers(ShortPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
replacePointers(ShortBuffer, LongBuffer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
replacePointers(ShortBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
replacePointers(short[], long[], boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
replacePointers(short[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
replacePointers(DoublePointer, LongPointer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
replacePointers(DoublePointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
replacePointers(DoubleBuffer, LongBuffer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
replacePointers(DoubleBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
replacePointers(double[], long[], boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
replacePointers(double[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
replacePointers(FloatPointer, LongPointer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
replacePointers(FloatPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
replacePointers(FloatBuffer, LongBuffer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
replacePointers(FloatBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
replacePointers(float[], long[], boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
replacePointers(float[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
replacePointers(ShortPointer, LongPointer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
method replaces existing buffer/shapeinfo, AND releases original pointers (if releaseExisting TRUE)
replacePointers(ShortPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
replacePointers(ShortBuffer, LongBuffer, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
replacePointers(ShortBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
replacePointers(short[], long[], boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
replacePointers(short[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
ReplaceStringTransform - Class in org.datavec.api.transform.transform.string
Replaces String values that match regular expressions.
ReplaceStringTransform(String, Map<String, String>) - Constructor for class org.datavec.api.transform.transform.string.ReplaceStringTransform
Constructs a new ReplaceStringTransform using the specified
replaceStringTransform(String, Map<String, String>) - Method in class org.datavec.api.transform.TransformProcess.Builder
Replace one or more String values in the specified column that match regular expressions.
replaceTokens(String, Pattern, Map<String, String>) - Static method in class org.nd4j.util.StringUtils
Matches a template string against a pattern, replaces matched tokens with the supplied replacements, and returns the result.
replaceWhere(SDVariable, SDVariable, Condition) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
replaceWhere(SDVariable, Number, Condition) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
replaceWhere(SDVariable, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise replace where condition:
out[i] = from[i] if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied
replaceWhere(String, SDVariable, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise replace where condition:
out[i] = from[i] if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied
replaceWhere(SDVariable, Number, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise replace where condition:
out[i] = value if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied
replaceWhere(String, SDVariable, Number, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise replace where condition:
out[i] = value if condition(update[i]) is satisfied, or
out[i] = update[i] if condition(update[i]) is NOT satisfied
replaceWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Replaces all elements in this ndarray that are matching give condition, with corresponding elements from given array
replaceWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
replaceWhere(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Replaces all elements in this ndarray that are matching give condition, with corresponding elements from given array
replaceWhere(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
This method does element-wise comparison for 2 equal-sized matrices, for each element that matches Condition
replaceWhere(INDArray, Number, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
This method does element-wise assessing for 2 equal-sized matrices, for each element that matches Condition
replayEpisode(String) - Method in class vizdoom.DoomGame
 
replayEpisode(String, int) - Method in class vizdoom.DoomGame
 
replicate(int, int) - Method in class org.nd4j.parameterserver.distributed.training.BaseTrainer
 
replicatedModel(Model) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
replicatedModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
replicateToDevice(Integer, INDArray) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
This method replicates given INDArray, and places it to target device.
replicateToDevice(Integer, DataBuffer) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
This method replicates given DataBuffer, and places it to target device.
replicateToDevice(Integer, INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method replicates given INDArray, and places it to target device.
replicateToDevice(Integer, DataBuffer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method replicates given DataBuffer, and places it to target device.
replicateToDevice(Integer, INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
This method replicates given INDArray, and places it to target device.
replicateToDevice(Integer, DataBuffer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
This method replicates given DataBuffer, and places it to target device.
repmat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Replicate and tile array to fill out to the given shape See: https://github.com/numpy/numpy/blob/master/numpy/matlib.py#L310-L358
repmat(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
repmat(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Replicate and tile array to fill out to the given shape
reportBatch(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if batches/sec should be reported together with other data
reportDataSetMetaData(List<Serializable>, Class<?>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report any metadata for the DataSet
reportDataSetMetaData(List<Serializable>, String) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report any metadata for the DataSet
reportDataSetMetaData(List<Serializable>, Class<?>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportDataSetMetaData(List<Serializable>, String) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportDataSetMetaData(List<Serializable>, Class<?>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportDataSetMetaData(List<Serializable>, String) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportETL(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if ETL time per iteration should be reported together with other data
reportEvent(Event, Environment, Task) - Method in class org.nd4j.linalg.heartbeat.Heartbeat
 
reportGarbageCollection(String, int, int) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report Garbage collection stats
reportGarbageCollection(String, int, int) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportGarbageCollection(String, int, int) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportHardwareInfo(int, int, long, long, long[], String[], String) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
reportHardwareInfo(int, int, long, long, long[], String[], String) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportHardwareInfo(int, int, long, long, long[], String[], String) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportHistograms(StatsType, Map<String, Histogram>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report histograms for all parameters, for a given StatsType
reportHistograms(StatsType, Map<String, Histogram>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportHistograms(StatsType, Map<String, Histogram>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportIDs(String, String, String, long) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
reportIDs(String, String, String, long) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportingFrequency() - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Get the reporting frequency, in terms of listener calls
reportingFrequency(int) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
reportingFrequency() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
reportIteration(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if iteration number should be reported together with other data
reportIterationCount(int) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the current iteration number
reportIterationCount(int) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportIterationCount(int) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportLearningRates(Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the learning rates by parameter
reportLearningRates(Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportLearningRates(Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportMean(StatsType, Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the mean values for each parameter, the given StatsType (Parameters/Updates/Activations)
reportMean(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportMean(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportMeanMagnitudes(StatsType, Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the mean magnitude values for each parameter for the given StatsType (Parameters/Updates/Activations)
reportMeanMagnitudes(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportMeanMagnitudes(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportMemoryUse(long, long, long, long, long[], long[]) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the memory stats at this iteration
reportMemoryUse(long, long, long, long, long[], long[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportMemoryUse(long, long, long, long, long[], long[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportModelInfo(String, String, String[], int, long) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
Report the model information
reportModelInfo(String, String, String[], int, long) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportModelInfo(String, String, String[], int, long) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportPerformance(long, long, long, double, double) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the performance stats (since the last report)
reportPerformance(long, long, long, double, double) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportPerformance(long, long, long, double, double) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportResults(OptimizationResult) - Method in interface org.deeplearning4j.arbiter.optimize.api.CandidateGenerator
Report results for the candidate generator.
reportResults(OptimizationResult) - Method in class org.deeplearning4j.arbiter.optimize.generator.BaseCandidateGenerator
 
reportSample(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if samples/sec should be reported together with other data
reportScore(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if score should be reported together with other data
reportScore - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
reportScore - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
reportScore(double) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report model score at the current iteration
reportScore(double) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportScore(double) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportScoreAfterAveraging(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method enables/disables averaged model score reporting
reportSoftwareInfo(String, String, String, String, String, String, String, String, String, Map<String, String>) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
reportSoftwareInfo(String, String, String, String, String, String, String, String, String, Map<String, String>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportSoftwareInfo(String, String, String, String, String, String, String, String, String, Map<String, String>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportStatsCollectionDurationMS(int) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the number of milliseconds required to calculate all of the stats.
reportStatsCollectionDurationMS(int) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportStatsCollectionDurationMS(int) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportStdev(StatsType, Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the standard deviation values for each parameter for the given StatsType (Parameters/Updates/Activations)
reportStdev(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportStdev(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.arbiter.ui.module.ArbiterModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in interface org.deeplearning4j.ui.api.UIModule
Whenever the UIServer receives some StatsStorageEvents from one of the registered StatsStorage instances, it will filter these and pass on to the UI module those ones that match one of the Type IDs from UIModule.getCallbackTypeIDs().
Typically, these will be batched together at least somewhat, rather than being reported individually.
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
reportTime(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if time per iteration should be reported together with other data
RequestDescriptor - Class in org.nd4j.parameterserver.distributed.logic.completion
 
RequestDescriptor() - Constructor for class org.nd4j.parameterserver.distributed.logic.completion.RequestDescriptor
 
REQUESTED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
 
RequestMessage - Interface in org.nd4j.parameterserver.distributed.messages
 
requestMessage - Variable in class org.nd4j.parameterserver.distributed.training.chains.SkipGramChain
 
requestTack() - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method requests to change state to Tack
requestTick() - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method requests to change state to Tick.
requestTick(long, TimeUnit) - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method requests to change state to Tick.
requestToe() - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method requests to change state to Toe PLEASE NOTE: this method is blocking, untill all Tick requests are brought down to Tack state;
requiredColumns - Variable in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
requiredUpdatesForPass() - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Returns the number of required updates for a new pass
requiredUpdatesForPass() - Method in class org.nd4j.parameterserver.updater.SoftSyncParameterUpdater
Returns the number of required updates for a new pass
requiredUpdatesForPass() - Method in class org.nd4j.parameterserver.updater.SynchronousParameterUpdater
Returns the number of required updates for a new pass
requiredUpdatesForPass() - Method in class org.nd4j.parameterserver.updater.TimeDelayedParameterUpdater
Returns the number of required updates for a new pass
requiresDropoutFromLegacy(Layer[]) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
requiresIUpdaterFromLegacy(Layer[]) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
reSample(byte[], int, int, int) - Method in class org.datavec.audio.dsp.Resampler
Do resampling.
Resampler - Class in org.datavec.audio.dsp
Resample signal data (base on bytes)
Resampler() - Constructor for class org.datavec.audio.dsp.Resampler
 
reSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
Identical to setSeed(System.currentTimeMillis());
reSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
Identical to setSeed(seed);
reSeed() - Method in interface org.nd4j.linalg.api.rng.Random
This method is similar to setSeed() but it doesn't really touches underlying buffer, if any.
reSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random
This method is similar to setSeed() but it doesn't really touches underlying buffer, if any.
reSeed(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
reSeed(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
reSeed() - Method in class org.nd4j.rng.NativeRandom
 
reSeed(long) - Method in class org.nd4j.rng.NativeRandom
 
reSeedBuffer(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
reSeedBuffer(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
reSeedBuffer(PointerPointer, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
reseedRandomGenerator(long) - Method in class org.deeplearning4j.arbiter.optimize.distribution.DegenerateIntegerDistribution
 
reseedRandomGenerator(long) - Method in class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
reseedRandomGenerator(long) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Reseed the random generator used to generate samples.
reserveAllocationIfPossible(Long, Integer, long) - Method in class org.nd4j.jita.allocator.concurrency.DeviceAllocationsTracker
This method "reserves" memory within allocator
reset(byte[], int) - Method in class org.datavec.api.io.DataInputBuffer
Resets the data that the buffer reads.
reset(byte[], int, int) - Method in class org.datavec.api.io.DataInputBuffer
Resets the data that the buffer reads.
reset() - Method in class org.datavec.api.io.DataOutputBuffer
Resets the buffer to empty.
reset() - Method in class org.datavec.api.records.Buffer
Reset the buffer to 0 size
reset() - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
Reset record reader iterator
reset() - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Reset record reader iterator
reset() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Reset record reader iterator
reset() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
Depending on the jdbc driver implementation, this will probably fail if the resultset was created with ResultSet.TYPE_FORWARD_ONLY
reset() - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
reset() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Reset record reader iterator
reset() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Reset record reader iterator
reset() - Method in interface org.datavec.api.records.reader.RecordReader
Reset record reader iterator
reset() - Method in class org.datavec.api.split.CollectionInputSplit
 
reset() - Method in class org.datavec.api.split.FileSplit
 
reset() - Method in interface org.datavec.api.split.InputSplit
Reset the InputSplit without reinitializing it from scratch.
reset() - Method in class org.datavec.api.split.InputStreamInputSplit
 
reset() - Method in class org.datavec.api.split.ListStringSplit
 
reset() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
reset() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
reset() - Method in class org.datavec.api.split.StringSplit
 
reset() - Method in class org.datavec.api.split.TransformSplit
 
reset() - Method in class org.datavec.api.util.jdbc.ResettableResultSetIterator
 
reset() - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
reset() - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
reset() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
reset() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
reset() - Method in class org.datavec.image.loader.CifarLoader
 
reset() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
reset() - Method in class org.datavec.image.recordreader.VideoRecordReader
 
reset() - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
reset() - Method in class org.datavec.poi.excel.ExcelRecordReader
 
reset() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
reset() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
reset() - Method in interface org.deeplearning4j.datasets.iterator.callbacks.DataSetCallback
 
reset() - Method in class org.deeplearning4j.datasets.iterator.callbacks.DefaultCallback
 
reset() - Method in class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
reset() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Returns the fetcher back to the beginning of the dataset
reset() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.JointMultiDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
reset(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
reset(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
reset(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
reset() - Method in class org.deeplearning4j.eval.Evaluation
 
reset() - Method in class org.deeplearning4j.eval.EvaluationBinary
 
reset() - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
reset() - Method in interface org.deeplearning4j.eval.IEvaluation
 
reset() - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
reset() - Method in class org.deeplearning4j.eval.ROC
 
reset() - Method in class org.deeplearning4j.eval.ROCBinary
 
reset() - Method in class org.deeplearning4j.eval.ROCMultiClass
 
reset() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Reset the graph walk iterator.
reset() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
reset() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
RESET - Static variable in class org.deeplearning4j.gym.Client
 
reset() - Method in class org.deeplearning4j.gym.Client
Reset the state of the environment and return an initial observation.
reset() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
reset() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Reset the iterator - including shuffling the order, if necessary/appropriate
reset() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
reset() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
reset() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
reset() - Method in class org.deeplearning4j.malmo.MalmoEnv
 
reset(boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
This method resets walker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
This method resets walker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
This method resets walker
reset() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
 
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
Resets iterator to first position
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
Resets iterator down to first sequence
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
This method resets underlying iterator
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
reset() - Method in interface org.deeplearning4j.models.sequencevectors.transformers.SequenceTransformer
 
reset() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
reset() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
reset() - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method resets all accumulated updates (if any)
reset() - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method resets all accumulated updates (if any)
reset() - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method resets all accumulated updates (if any)
reset() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
reset() - Method in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
reset() - Method in class org.deeplearning4j.rl4j.mdp.gym.GymEnv
 
reset() - Method in interface org.deeplearning4j.rl4j.mdp.MDP
 
reset() - Method in class org.deeplearning4j.rl4j.mdp.toy.HardDeteministicToy
 
reset() - Method in class org.deeplearning4j.rl4j.mdp.toy.SimpleToy
 
reset() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
reset() - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
reset() - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
reset() - Method in interface org.deeplearning4j.rl4j.network.ac.IActorCritic
 
reset() - Method in class org.deeplearning4j.rl4j.network.dqn.DQN
 
reset() - Method in interface org.deeplearning4j.rl4j.network.dqn.IDQN
 
reset() - Method in interface org.deeplearning4j.rl4j.network.NeuralNet
required for recurrent networks during init
reset() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
reset() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
This methods resets LabelAwareIterator
reset() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator
Reset the iterator to the beginning
reset() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
reset() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
This method should be called from Iterator's reset() method, to keep labels in sync with iterator
reset() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
This methods resets LabelAwareIterator by creating new Iterator from Iterable internally
reset() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
reset() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
Resets the iterator to the beginning
reset() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
Returns the fetcher back to the beginning of the dataset
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
Shuffles the dataset and resets to the first fold
reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
Resets the iterator back to the beginning
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
reset() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
 
reset() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
reset() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
reset() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
reset() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
 
reset() - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
reset() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
reset() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
reset() - Method in class org.nd4j.linalg.indexing.NewAxis
 
reset() - Method in class org.nd4j.linalg.indexing.PointIndex
 
reset() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
reset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
This method reset host/device offsets within workspace PLEASE NOTE: Never call this method unless you realize all consequences
reset() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
 
reset() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
 
reset() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
 
reset() - Method in class org.nd4j.linalg.profiler.data.StringCounter
 
reset() - Method in class org.nd4j.linalg.profiler.OpProfiler
This method resets all counters
reset() - Method in class org.nd4j.parameterserver.updater.BaseParameterUpdater
Reset internal counters such as number of updates accumulated.
reset() - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Reset internal counters such as number of updates accumulated.
reset() - Method in class org.nd4j.parameterserver.updater.SoftSyncParameterUpdater
Reset internal counters such as number of updates accumulated.
reset() - Method in class org.nd4j.parameterserver.updater.TimeDelayedParameterUpdater
Reset internal counters such as number of updates accumulated.
reset() - Static method in class org.nd4j.util.OneTimeLogger
 
resetBaseDirectoryLocation() - Static method in class org.deeplearning4j.common.resources.DL4JResources
Reset to the default directory, or the directory set via the DL4JSystemProperties.DL4J_RESOURCES_DIR_PROPERTY system property, org.deeplearning4j.resources.directory
resetContent(AnsjReader) - Method in class org.ansj.splitWord.Analysis
重置分词器
resetContent(Reader) - Method in class org.ansj.splitWord.Analysis
 
resetContent(Reader, int) - Method in class org.ansj.splitWord.Analysis
 
resetLayerDefaultConfig() - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer
Reset the learning related configs of the layer to default.
resetLayerDefaultConfig() - Method in class org.deeplearning4j.nn.conf.layers.Layer
Reset the learning related configs of the layer to default.
resetLinearView() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
resetLinearView() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
resetLinearView() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Deprecated.
resetModel - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
resetModel(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
resetModel(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
resetModel(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether model should be totally wiped out prior building, or not
resetModel - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
resetModel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines, should all model be reset before training.
resetModel(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether model should be totally wiped out prior building, or not
resetPending - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
resetPending - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
resetPlanned - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
ResetPolicy - Enum in org.nd4j.linalg.api.memory.enums
 
resetPool(int) - Method in class org.nd4j.jita.allocator.context.impl.BasicContextPool
This methods reset everything in pool, forcing recreation of all streams PLEASE NOTE: This is debugging-related method, and should NOT be used in real tasks
resetSupported() - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
 
resetSupported() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
 
resetSupported() - Method in interface org.datavec.api.records.reader.RecordReader
 
resetSupported() - Method in class org.datavec.api.split.CollectionInputSplit
 
resetSupported() - Method in class org.datavec.api.split.FileSplit
 
resetSupported() - Method in interface org.datavec.api.split.InputSplit
 
resetSupported() - Method in class org.datavec.api.split.InputStreamInputSplit
 
resetSupported() - Method in class org.datavec.api.split.ListStringSplit
 
resetSupported() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
resetSupported() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
resetSupported() - Method in class org.datavec.api.split.StringSplit
 
resetSupported() - Method in class org.datavec.api.split.TransformSplit
 
resetSupported() - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
resetSupported() - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
resetSupported() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
resetSupported() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
resetSupported() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
resetSupported() - Method in class org.datavec.image.recordreader.VideoRecordReader
 
resetSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.JointMultiDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
resetSupported() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
resetSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
resetSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
 
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
resetSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
ResettableResultSetIterator - Class in org.datavec.api.util.jdbc
Encapsulation of ResultSetIterator to allow resetting
ResettableResultSetIterator(ResultSet) - Constructor for class org.datavec.api.util.jdbc.ResettableResultSetIterator
 
resetTracker - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
resetWeights() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
Reset (randomize) the weights.
resetWeights() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
resetWeights(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
resetWeights() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Reset the weights of the cache
resetWeights(boolean) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Clear out all weights regardless
resetWeights() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Reset the weights of the cache
resetWeights(boolean) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
resetWeights() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
Reset the weights of the cache
resetWordCounters() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This methods reset counters for all words in vocabulary
resetWorkspace() - Method in class org.nd4j.jita.workspace.CudaWorkspace
 
resetWorkspace() - Method in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspace
 
resetWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
reshape(SDVariable, int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reshape(SDVariable, long[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reshape(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reshape(SDVariable, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reshape the input variable to the specified (fixed) shape.
reshape(String, SDVariable, long...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reshape the input variable to the specified (fixed) shape.
reshape(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reshape the input variable to the specified (fixed) shape.
reshape(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reshape the input variable to the specified (fixed) shape.
reshape(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reshape the input variable to the specified (dynamic) shape.
reshape(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reshape the input variable to the specified (dynamic) shape.
reshape(char, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
reshape(char, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
reshape(char, int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
reshape(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Reshape the ndarray in to the specified dimensions, possible errors being thrown for invalid shapes Note here that one dimension can be -1.
reshape(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
reshape(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Reshape the matrix.
reshape(char, long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
reshape(char, int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
reshape(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
reshape(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
reshape(char, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
reshape(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
reshape(char, long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reshapes the ndarray (can't change the length of the ndarray).
reshape(char, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
reshape(char, int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reshapes the ndarray (can't change the length of the ndarray).
reshape(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reshapes the ndarray (can't change the length of the ndarray).
reshape(int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
reshape(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Reshapes the ndarray (can't change the length of the ndarray).
Reshape - Class in org.nd4j.linalg.api.ops.impl.shape
Reshape function
Reshape(SameDiff, SDVariable, long[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
Reshape(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
Reshape(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
Reshape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
reshape(char, int...) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
reshape(int[]) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
reshape(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
reshape(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
Reshapes the input in to the given rows and columns
reshape(char, int...) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
reshape(int[]) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
reshape(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
creates new array with corresponding order and shape, new array will point on _buffer of this array order - order to set shape - shape to set if permute have been applied before or there are weird strides, then new buffer is allocated for new array
reshape(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshape(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshape(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
creates new array with corresponding order and shape, new array will point on _buffer of this array order - order to set shape - shape to set if permute have been applied before or there are weird strides, then new buffer is allocated for new array
reshape(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshape(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshape(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
creates new array with corresponding order and shape, new array will point on _buffer of this array order - order to set shape - shape to set if permute have been applied before or there are weird strides, then new buffer is allocated for new array
reshape(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshape(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshape(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
creates new array with corresponding order and shape, new array will point on _buffer of this array order - order to set shape - shape to set if permute have been applied before or there are weird strides, then new buffer is allocated for new array
reshape(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshape(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshape(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
creates new array with corresponding order and shape, new array will point on _buffer of this array order - order to set shape - shape to set if permute have been applied before or there are weird strides, then new buffer is allocated for new array
reshape(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshape(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshape(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
creates new array with corresponding order and shape, new array will point on _buffer of this array order - order to set shape - shape to set if permute have been applied before or there are weird strides, then new buffer is allocated for new array
reshape(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshape(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshape2dTo3d(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape2dTo3d(INDArray, int, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape2dTo4d(INDArray, int[], LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshape3dMask(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshape3dTo2d(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape3dTo2d(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape4dMask(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshape4dTo2d(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshapeCF(int, LongPointer, int, LongPointer, boolean, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
reshapeCF(int, LongBuffer, int, LongBuffer, boolean, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
reshapeCF(int, long[], int, long[], boolean, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
reshapeCF(int, LongPointer, int, LongPointer, boolean, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
reshapeCF(int, LongBuffer, int, LongBuffer, boolean, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
reshapeCF(int, long[], int, long[], boolean, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
reshapei(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
set new order and shape in case of suitable array length (in-place operation) order - order to set shape - shape to set if there was permute applied before or there are weird strides, then new buffer is allocated for array
reshapei(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshapei(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshapei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshapei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshapei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
reshapei(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
set new order and shape in case of suitable array length (in-place operation) order - order to set shape - shape to set if there was permute applied before or there are weird strides, then new buffer is allocated for array
reshapei(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshapei(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshapei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshapei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshapei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
reshapei(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
set new order and shape in case of suitable array length (in-place operation) order - order to set shape - shape to set if there was permute applied before or there are weird strides, then new buffer is allocated for array
reshapei(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshapei(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshapei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshapei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshapei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
reshapei(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
set new order and shape in case of suitable array length (in-place operation) order - order to set shape - shape to set if there was permute applied before or there are weird strides, then new buffer is allocated for array
reshapei(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshapei(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshapei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshapei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshapei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
reshapei(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
set new order and shape in case of suitable array length (in-place operation) order - order to set shape - shape to set if there was permute applied before or there are weird strides, then new buffer is allocated for array
reshapei(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshapei(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshapei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshapei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshapei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
reshapei(char, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
set new order and shape in case of suitable array length (in-place operation) order - order to set shape - shape to set if there was permute applied before or there are weird strides, then new buffer is allocated for array
reshapei(char, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshapei(char, long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshapei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshapei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshapei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
reshapeMaskIfRequired(INDArray, INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshapeOrder - Variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
reshapePerOutputTimeSeriesMaskTo2d(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshapePerOutputTimeSeriesMaskTo2d(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
ReshapePreprocessor - Class in org.deeplearning4j.nn.modelimport.keras.preprocessors
Generic reshape preprocessor
ReshapePreprocessor(long[], long[]) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
reshapeTimeSeriesMaskToVector(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reshape time series mask arrays.
reshapeTimeSeriesMaskToVector(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reshape time series mask arrays.
reshapeTimeSeriesTo2d(INDArray) - Static method in class org.deeplearning4j.eval.EvaluationUtils
 
reshapeVectorToTimeSeriesMask(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reshape time series mask arrays.
ReshapeVertex - Class in org.deeplearning4j.nn.conf.graph
Adds the ability to reshape and flatten the tensor in the computation graph.
NOTE: This class should only be used if you know exactly what you are doing with reshaping activations.
ReshapeVertex(int...) - Constructor for class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
ReshapeVertex(char, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
ReshapeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
Adds the ability to reshape and flatten the tensor in the computation graph.
ReshapeVertex(ComputationGraph, String, int, char, int[], int[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
ReshapeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], char, int[], int[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
reshapeWeights(int[], INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Reshape the parameters view, without modifying the paramsView array values.
reshapeWeights(long[], INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Reshape the parameters view, without modifying the paramsView array values.
reshapeWeights(int[], INDArray, char) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Reshape the parameters view, without modifying the paramsView array values.
reshapeWeights(long[], INDArray, char) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Reshape the parameters view, without modifying the paramsView array values.
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
 
resize(long, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
 
resize(long, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
 
resize(long, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
 
resize(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
 
resize(long, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
 
resizeImageTransform(int, int) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
ResizeImageTransform - Class in org.datavec.image.transform
ResizeImageTransform is suited to force the same image size for whole pipeline and it doesn't use any random factor for width and height.
ResizeImageTransform(int, int) - Constructor for class org.datavec.image.transform.ResizeImageTransform
Returns new ResizeImageTransform object
ResizeImageTransform(Random, int, int) - Constructor for class org.datavec.image.transform.ResizeImageTransform
Returns new ResizeImageTransform object
ResNet50 - Class in org.deeplearning4j.zoo.model
Residual networks for deep learning.
resolve(String) - Method in class com.atilika.kuromoji.util.FileResourceResolver
 
resolve(String) - Method in interface com.atilika.kuromoji.util.ResourceResolver
Resolve the resource name and return an open input stream to it.
resolve(String) - Method in class com.atilika.kuromoji.util.SimpleResourceResolver
 
resolve(DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
resolve(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary
resolve(DataBuffer, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary
resolve(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary
resolve(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
 
resolve(INDArrayIndex[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Given an all index and the intended indexes, return an index array containing a combination of all elements for slicing and overriding particular indexes where necessary
resolveClassName(String, ClassLoader) - Static method in class org.nd4j.linalg.io.ClassUtils
 
resolveFixedDimensionsCOO(INDArrayIndex...) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
 
resolveNegativeShapeIfNeccessary(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
resolvePrimitiveClassName(String) - Static method in class org.nd4j.linalg.io.ClassUtils
 
resolvePrimitiveIfNecessary(Class<?>) - Static method in class org.nd4j.linalg.io.ClassUtils
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Resolve properties and arguments right before execution of this operation.
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
 
resolvePropertiesFromSameDiffBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
 
resolver - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
resolveSparseOffsetsCOO() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
 
resolveVariablesWith(Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.SameDiff
Resolve all ndarrays by updating the variables for each array specified in the given map.
Resource - Interface in org.nd4j.linalg.io
Resource
RESOURCE_HANDLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
RESOURCE_MANGER_ON - Static variable in class org.nd4j.linalg.factory.Nd4j
 
ResourceHandle - Class in org.tensorflow.framework
 
ResourceHandleProto - Class in org.tensorflow.framework
Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProto.Builder - Class in org.tensorflow.framework
Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProtoOrBuilder - Interface in org.tensorflow.framework
 
resourceManagerOn - Static variable in class org.nd4j.linalg.factory.Nd4j
 
resourceMD5() - Method in class org.deeplearning4j.zoo.util.BaseLabels
 
resourceMD5() - Method in class org.deeplearning4j.zoo.util.darknet.COCOLabels
 
resourceMD5() - Method in class org.deeplearning4j.zoo.util.darknet.DarknetLabels
 
resourceMD5() - Method in class org.deeplearning4j.zoo.util.darknet.VOCLabels
 
resourceMD5() - Method in class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
 
resourceName() - Method in enum org.deeplearning4j.common.resources.ResourceType
 
resourceName() - Method in class org.deeplearning4j.zoo.util.BaseLabels
 
resourceName() - Method in class org.deeplearning4j.zoo.util.darknet.COCOLabels
 
resourceName() - Method in class org.deeplearning4j.zoo.util.darknet.DarknetLabels
 
resourceName() - Method in class org.deeplearning4j.zoo.util.darknet.VOCLabels
 
resourceName() - Method in class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
 
ResourceResolver - Interface in com.atilika.kuromoji.util
An adapter to resolve the required resources into data streams.
ResourceType - Enum in org.deeplearning4j.common.resources
 
ResourceUtils - Class in org.nd4j.linalg.io
 
ResourceUtils() - Constructor for class org.nd4j.linalg.io.ResourceUtils
 
respawnPlayer() - Method in class vizdoom.DoomGame
 
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy
 
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
 
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
Restore a MultiNormalizerHybrid that was previously serialized by this strategy
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
Restore a MultiNormalizerMinMaxScaler that was previously serialized by this strategy
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
Restore a MultiNormalizerStandardize that was previously serialized by this strategy
restore(String) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Restore a normalizer from the given path
restore(File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Restore a normalizer from the given file
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Restore a normalizer from an input stream
restore(InputStream) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy
Restore a normalizer that was previously serialized by this strategy
restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
 
restoreComputationGraph(String) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraph(String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraph(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a InputStream
restoreComputationGraph(InputStream) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a InputStream
restoreComputationGraph(File) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraph(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraphAndNormalizer(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a ComputationGraph and Normalizer (if present - null if not) from the InputStream.
restoreComputationGraphAndNormalizer(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a ComputationGraph and Normalizer (if present - null if not) from a File
restoreMapFile(String, JavaSparkContext) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Restore a JavaPairRDD<Long,List<Writable>> previously saved with SparkStorageUtils.saveMapFile(String, JavaRDD)}
Note that if the keys are not required, simply use restoreMapFile(...).values()
restoreMapFileSequences(String, JavaSparkContext) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Restore a JavaPairRDD<Long,List<List<Writable>>> previously saved with SparkStorageUtils.saveMapFile(String, JavaRDD)}
Note that if the keys are not required, simply use restoreMapFileSequences(...).values()
restoreModel(InputStream) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
restoreMultiLayerNetwork(File) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a multi layer network from a file
restoreMultiLayerNetwork(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a multi layer network from a file
restoreMultiLayerNetwork(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a MultiLayerNetwork from InputStream from an input stream
Note: the input stream is read fully and closed by this method.
restoreMultiLayerNetwork(InputStream) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a multi layer network from an input stream
* Note: the input stream is read fully and closed by this method.
restoreMultiLayerNetwork(String) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a MultilayerNetwork model from a file
restoreMultiLayerNetwork(String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a MultilayerNetwork model from a file
restoreMultiLayerNetworkAndNormalizer(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a MultiLayerNetwork and Normalizer (if present - null if not) from the InputStream.
restoreMultiLayerNetworkAndNormalizer(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a MultiLayerNetwork and Normalizer (if present - null if not) from a File
restoreNormalizerFromFile(File) - Static method in class org.deeplearning4j.util.ModelSerializer
This method restores normalizer from a given persisted model file PLEASE NOTE: File should be model file saved earlier with ModelSerializer with addNormalizerToModel being called
restoreNormalizerFromInputStream(InputStream) - Static method in class org.deeplearning4j.util.ModelSerializer
This method restores the normalizer form a persisted model file.
restoreSequenceFile(String, JavaSparkContext) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Restore a JavaRDD<List<Writable>> previously saved with SparkStorageUtils.saveSequenceFile(String, JavaRDD)
restoreSequenceFileSequences(String, JavaSparkContext) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Restore a JavaRDD<List<List<Writable>> previously saved with SparkStorageUtils.saveSequenceFileSequences(String, JavaRDD)
RestoreV2 - Class in org.nd4j.linalg.api.ops.persistence
 
RestoreV2() - Constructor for class org.nd4j.linalg.api.ops.persistence.RestoreV2
 
Result - Class in org.ansj.domain
分词结果的一个封装
Result(List<Term>) - Constructor for class org.ansj.domain.Result
 
ResultReference - Interface in org.deeplearning4j.arbiter.optimize.api.saving
Idea: We can't store all results in memory in general (might have thousands of candidates with millions of parameters each) So instead: return a reference to the saved result.
ResultSaver - Interface in org.deeplearning4j.arbiter.optimize.api.saving
The ResultSaver interface provides a means of saving models in such a way that they can be loaded back into memory later, regardless of where/how they are saved.
ResultWrapper(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.ResultWrapper
Pointer cast constructor.
ResultWrapper(long, Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.ResultWrapper
 
ResultWrapper(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.ResultWrapper
Pointer cast constructor.
ResultWrapper(long, Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.ResultWrapper
 
ResultWrapperAbstraction - Class in org.nd4j.nativeblas
 
ResultWrapperAbstraction(Pointer) - Constructor for class org.nd4j.nativeblas.ResultWrapperAbstraction
 
RET_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef
 
retainAll(Collection<?>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
retainAll(Collection<?>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
retainAll(Collection<?>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
retainAll(Collection<?>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
retainAll(Collection<?>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
retainAll(Collection<?>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
retainAll(Collection<?>) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
retainAll(Collection<?>) - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
retainAll(Collection<?>) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Retains only the elements in this applyTransformToDestination that are contained in the specified collection (optional operation).
retainAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList
 
retainAll(Collection<?>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
retainAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList
 
retentionDelay - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
rethrowException(Throwable) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
rethrowRuntimeException(Throwable) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
RetransmissionHandler - Interface in org.nd4j.parameterserver.distributed.logic
 
RetransmissionHandler.TransmissionStatus - Enum in org.nd4j.parameterserver.distributed.logic
 
retransmitCount - Variable in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
retransmitCount - Variable in class org.nd4j.parameterserver.distributed.messages.Frame
 
retrieve() - Method in class org.datavec.nlp.uima.UimaResource
 
retrieve() - Method in class org.deeplearning4j.text.uima.UimaResource
 
retrieveDeviceAddress(DataBuffer, CudaContext) - Static method in class org.nd4j.linalg.jcublas.buffer.AddressRetriever
Retrieves the device pointer for the given data buffer
retrieveDevicePointer(DataBuffer, CudaContext) - Static method in class org.nd4j.linalg.jcublas.buffer.AddressRetriever
Retrieves the device pointer for the given data buffer
retrieveHostAddress(DataBuffer) - Static method in class org.nd4j.linalg.jcublas.buffer.AddressRetriever
Returns the host address
retrieveHostPointer(DataBuffer) - Static method in class org.nd4j.linalg.jcublas.buffer.AddressRetriever
Returns the host pointer
returnSequences - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
 
returnSequences - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
 
reuseGraph(SameDiff, Map<Integer, INDArray>) - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
 
reuseGraph(SameDiff, Map<Integer, INDArray>) - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
 
reuseGraph(SameDiff, Map<Integer, INDArray>) - Method in class org.nd4j.autodiff.execution.NativeGraphExecutioner
 
reverse() - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
reverse(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reverse(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
reverse(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reverse the values of an array for the specified dimensions
If input is:
[ 1, 2, 3]
[ 4, 5, 6]
then
reverse(in, 0):
[3, 2, 1]
[6, 5, 4]
reverse(in, 0):
[4, 5, 6]
[1, 2 3]
reverse - Variable in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
reverse - Variable in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
Reverse - Class in org.nd4j.linalg.api.ops.impl.transforms
 
Reverse(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
 
Reverse() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
 
reverse(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
reverse(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
reverse(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
reverse() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
Reverse the indexes
reverse() - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
reverse() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
reverse() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
reverse() - Method in class org.nd4j.linalg.indexing.NewAxis
 
reverse() - Method in class org.nd4j.linalg.indexing.PointIndex
 
reverse() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
reverse(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
reverse(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Reverse the passed in array in place
reverse(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
reverse(E[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
ReverseComparator<T> - Class in org.datavec.api.writable.comparator
 
ReverseComparator() - Constructor for class org.datavec.api.writable.comparator.ReverseComparator
 
reverseCopy(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Create a backwards copy of the given array
reverseCopy(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
reverseCopy(float[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
reverseCopy(E[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
ReversedPairComparator() - Constructor for class org.nd4j.linalg.primitives.Counter.ReversedPairComparator
 
reverseIndexes(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Return the index of the value corresponding to the indexes
reverseSequence(SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reverseSequence(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
reverseSequence(String, SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
Reverse sequence op: for each slice along dimension seqDimension, the first seqLength values are reversed
reverseSequence(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
reverseSequence(SDVariable, SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
reverseSequence(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
ReverseSequence - Class in org.nd4j.linalg.api.ops.impl.transforms
Created by farizrahman4u on 3/16/18.
ReverseSequence(SameDiff, SDVariable, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
ReverseSequence(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
ReverseSequence() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
reverseTimeSeries(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse an input time series along the time dimension
reverseTimeSeries(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse an input time series along the time dimension
reverseTimeSeriesMask(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse a (per time step) time series mask, with shape [miniba