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M

M - Static variable in class org.ansj.app.crf.Config
 
M - Static variable in class org.ansj.domain.TermNature
系统内置的几个
M - Static variable in class org.ansj.domain.TermNatures
 
M - Variable in class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
machineId - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 
MAGIC_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
main(String[]) - Static method in class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
 
main(String[]) - Static method in class org.ansj.app.crf.MakeTrainFile
 
main(String[]) - Static method in class org.ansj.util.MathUtil
 
main(String[]) - Static method in class org.datavec.api.conf.Configuration
For debugging.
main(String[]) - Static method in class org.datavec.spark.transform.CSVSparkTransformServer
 
main(String[]) - Static method in class org.datavec.spark.transform.ImageSparkTransformServer
 
main(String[]) - Static method in class org.datavec.spark.transform.SparkTransformServerChooser
 
main(String...) - Static method in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
main(String...) - Static method in class org.deeplearning4j.arbiter.server.ArbiterCliRunner
 
main(String[]) - Static method in class org.deeplearning4j.aws.ec2.provision.ClusterSetup
 
main(String[]) - Static method in class org.deeplearning4j.aws.ec2.provision.DistributedDeepLearningTrainer
 
main(String[]) - Static method in class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
 
main(String[]) - Static method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain
 
main(String[]) - Static method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
main(String[]) - Static method in class org.deeplearning4j.ui.play.PlayUIServer
 
main(String...) - Static method in class org.nd4j.aeron.ipc.LowLatencyMediaDriver
 
main(String[]) - Static method in class org.nd4j.aeron.util.AeronStat
 
main(String[]) - Static method in class org.nd4j.aeron.util.LogInspector
 
main(String[]) - Static method in class org.nd4j.parameterserver.node.ParameterServerNode
 
main(String[]) - Static method in class org.nd4j.parameterserver.ParameterServerSubscriber
 
majorStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
majorStride() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
majorStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Return the major stride for an ndarray
makeAccessible(Field) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
makeAccessible(Method) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
makeAccessible(Constructor<?>) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
makeAction(double[]) - Method in class vizdoom.DoomGame
 
makeAction(double[], int) - Method in class vizdoom.DoomGame
 
makeBOWNDArray(Collection<Integer>) - Method in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
makeBOWNDArray(Collection<Integer>) - Method in class org.datavec.api.transform.transform.string.StringListToIndicesNDArrayTransform
 
makeCategoryReferences() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
makeCharacterCategoryMap() - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
makeCosts() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
makeDemoteDecision(Integer, AllocationPoint, AllocationShape) - Method in interface org.nd4j.jita.balance.Balancer
Deprecated.
This method checks, if it's worth moving some memory region to host
makeFeatureArr(List<Element>, int) - Method in class org.ansj.app.crf.Config
得到一个位置的所有特征
makeFeatures() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
makeIndex(INDArray) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Populates the index with data vectors.
makeIndex(INDArray) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
Populates the index.
makeNewTerm() - Method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
makeNewTermNum(Term, Term, TermNatures) - Static method in class org.ansj.util.TermUtil
将两个term合并为一个全新的term
makePair(T, E) - Static method in class org.nd4j.linalg.primitives.ImmutablePair
 
makePair(T, E) - Static method in class org.nd4j.linalg.primitives.Pair
 
makePromoteDecision(Integer, AllocationPoint, AllocationShape) - Method in interface org.nd4j.jita.balance.Balancer
Deprecated.
This method checks, if it's worth moving some memory region to device
makeShape(int, int[]) - Static method in class org.deeplearning4j.rl4j.learning.Learning
 
makeShape(int, int[], int) - Static method in class org.deeplearning4j.rl4j.learning.Learning
 
makeTable(int, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
makeTable(int, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
 
makeToElementList(String, String) - Static method in class org.ansj.app.crf.Config
 
makeToElementList(String) - Method in class org.ansj.app.crf.Config
 
MakeTrainFile - Class in org.ansj.app.crf
生成crf 或者是 wapiti的训练语聊工具.
MakeTrainFile() - Constructor for class org.ansj.app.crf.MakeTrainFile
 
malloc(AllocationShape, AllocationPoint, AllocationStatus) - Method in class org.nd4j.jita.memory.impl.CudaCachingZeroProvider
This method provides PointersPair to memory chunk specified by AllocationShape PLEASE NOTE: This method can actually ignore malloc request, and give out previously cached free memory chunk with equal shape.
malloc(AllocationShape, AllocationPoint, AllocationStatus) - Method in class org.nd4j.jita.memory.impl.CudaDirectProvider
This method provides PointersPair to memory chunk specified by AllocationShape
malloc(AllocationShape, AllocationPoint, AllocationStatus) - Method in class org.nd4j.jita.memory.impl.CudaFullCachingProvider
This method provides PointersPair to memory chunk specified by AllocationShape PLEASE NOTE: This method can actually ignore malloc request, and give out previously cached free memory chunk with equal shape.
malloc(AllocationShape, AllocationPoint, AllocationStatus) - Method in interface org.nd4j.jita.memory.MemoryProvider
This method provides PointersPair to memory chunk specified by AllocationShape
mallocDevice(long, Pointer, int) - Method in class org.nd4j.nativeblas.NativeOps
 
mallocDevice(long, Pointer, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
This method acquires memory chunk of requested size on specified device
mallocDevice(long, Pointer, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
This method acquires memory chunk of requested size on specified device
mallocHost(long, int) - Method in class org.nd4j.nativeblas.NativeOps
 
mallocHost(long, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
This method acquires memory chunk of requested size on host side
mallocHost(long, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
This method acquires memory chunk of requested size on host side
MalmoActionSpace - Class in org.deeplearning4j.malmo
Abstract base class for all Malmo-specific action spaces
MalmoActionSpace(int) - Constructor for class org.deeplearning4j.malmo.MalmoActionSpace
Protected constructor
MalmoActionSpaceDiscrete - Class in org.deeplearning4j.malmo
Action space that allows for a fixed set of specific Malmo actions
MalmoActionSpaceDiscrete(String...) - Constructor for class org.deeplearning4j.malmo.MalmoActionSpaceDiscrete
Construct an actions space from an array of action strings
MalmoBox - Class in org.deeplearning4j.malmo
Encodable state as a simple value array similar to Gym Box model, but without a JSON constructor
MalmoBox(double...) - Constructor for class org.deeplearning4j.malmo.MalmoBox
Construct state from an array of doubles
MalmoConnectionError - Exception in org.deeplearning4j.malmo
Exception thrown when Malmo cannot connect to a client after multiple retries
MalmoConnectionError(String) - Constructor for exception org.deeplearning4j.malmo.MalmoConnectionError
 
MalmoDescretePositionPolicy - Class in org.deeplearning4j.malmo
A Malmo consistency policy that ensures the both there is a reward and next observation has a different position that the previous one.
MalmoDescretePositionPolicy() - Constructor for class org.deeplearning4j.malmo.MalmoDescretePositionPolicy
 
MalmoEnv - Class in org.deeplearning4j.malmo
MDP Wrapper around Malmo Java Client Library
MalmoEnv(String, MalmoActionSpace, MalmoObservationSpace, MalmoObservationPolicy, String...) - Constructor for class org.deeplearning4j.malmo.MalmoEnv
Create a MalmoEnv using a XML-file mission description and minimal set of parameters.
MalmoEnv(MissionSpec, MissionRecordSpec, MalmoActionSpace, MalmoObservationSpace, MalmoObservationPolicy, ClientPool) - Constructor for class org.deeplearning4j.malmo.MalmoEnv
Create a fully specified MalmoEnv
MalmoObservationSpace - Class in org.deeplearning4j.malmo
Abstract base class for all Malmo-specific observation spaces
MalmoObservationSpace() - Constructor for class org.deeplearning4j.malmo.MalmoObservationSpace
 
MalmoObservationSpaceGrid - Class in org.deeplearning4j.malmo
Observation space that contains a grid of Minecraft blocks
MalmoObservationSpaceGrid(String, int, int, int, Object...) - Constructor for class org.deeplearning4j.malmo.MalmoObservationSpaceGrid
Construct observation space from a array of blocks policy should distinguish between.
MalmoObservationSpacePixels - Class in org.deeplearning4j.malmo
Observation space that contains a bitmap of Minecraft pixels
MalmoObservationSpacePixels(int, int) - Constructor for class org.deeplearning4j.malmo.MalmoObservationSpacePixels
Construct observation space from a bitmap size.
MalmoObservationSpacePosition - Class in org.deeplearning4j.malmo
Basic observation space that contains just the X,Y,Z location triplet, plus Yaw and Pitch
MalmoObservationSpacePosition() - Constructor for class org.deeplearning4j.malmo.MalmoObservationSpacePosition
 
MalmoResetHandler - Interface in org.deeplearning4j.malmo
Callback interface for Malmo MDP reset events
man - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
manhattanDistance(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will calculate the Manhattan distance between two sets of points.
manhattanDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
manhattanDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
manhattanDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Manhattan distance (l1 norm, l1 distance) reduction operation.
ManhattanDistance - Class in org.nd4j.linalg.api.ops.impl.accum.distances
Manhattan distance
ManhattanDistance(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
ManhattanDistance(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
manhattanDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
manhattanDistance(double[], double[]) - Static method in class org.nd4j.linalg.util.MathUtils
This will calculate the Manhattan distance between two sets of points.
manualMode - Variable in class org.nd4j.parameterserver.distributed.VoidParameterServer
 
map(Object) - Method in class org.datavec.api.transform.ndarray.NDArrayColumnsMathOpTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
map(Object) - Method in class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
map(Writable) - Method in class org.datavec.api.transform.ndarray.NDArrayMathFunctionTransform
 
map(Object) - Method in class org.datavec.api.transform.ndarray.NDArrayMathFunctionTransform
 
map(Writable) - Method in class org.datavec.api.transform.ndarray.NDArrayScalarOpTransform
 
map(Object) - Method in class org.datavec.api.transform.ndarray.NDArrayScalarOpTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
map(Object) - Method in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.sequence.ReduceSequenceTransform
 
map(Object) - Method in class org.datavec.api.transform.sequence.ReduceSequenceTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.sequence.trim.SequenceTrimTransform
 
map(Object) - Method in class org.datavec.api.transform.sequence.trim.SequenceTrimTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
 
map(Object) - Method in class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.BaseColumnTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.BaseColumnTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.categorical.CategoricalToIntegerTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.categorical.CategoricalToIntegerTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.categorical.CategoricalToOneHotTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.categorical.CategoricalToOneHotTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.categorical.IntegerToCategoricalTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.categorical.IntegerToCategoricalTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.categorical.PivotTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.categorical.PivotTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.categorical.StringToCategoricalTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.categorical.StringToCategoricalTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.column.AddConstantColumnTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.column.AddConstantColumnTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.column.DuplicateColumnsTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.column.DuplicateColumnsTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.column.RemoveAllColumnsExceptForTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.column.RemoveAllColumnsExceptForTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.column.RemoveColumnsTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.column.RemoveColumnsTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.column.RenameColumnsTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.column.RenameColumnsTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.column.ReorderColumnsTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.column.ReorderColumnsTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.condition.ConditionalCopyValueTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.condition.ConditionalCopyValueTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransform
Transform an object in to another object
map(Object) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransformWithDefault
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransformWithDefault
 
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.BaseDoubleTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.ConvertToDouble
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.ConvertToDouble
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleColumnsMathOpTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleMathFunctionTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleMathFunctionTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleMathOpTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleMathOpTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.Log2Normalizer
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.Log2Normalizer
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.StandardizeNormalizer
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.StandardizeNormalizer
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.doubletransform.SubtractMeanNormalizer
 
map(Object) - Method in class org.datavec.api.transform.transform.doubletransform.SubtractMeanNormalizer
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.floattransform.BaseFloatTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.floattransform.ConvertToFloat
 
map(Object) - Method in class org.datavec.api.transform.transform.floattransform.ConvertToFloat
 
map(Object) - Method in class org.datavec.api.transform.transform.floattransform.FloatColumnsMathOpTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.floattransform.FloatMathFunctionTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.floattransform.FloatMathFunctionTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.floattransform.FloatMathOpTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.floattransform.FloatMathOpTransform
Transform an object in to another object
map(Object) - Method in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.integer.BaseIntegerTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.integer.ConvertToInteger
 
map(Object) - Method in class org.datavec.api.transform.transform.integer.ConvertToInteger
 
map(Object) - Method in class org.datavec.api.transform.transform.integer.IntegerColumnsMathOpTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.integer.IntegerMathOpTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.integer.IntegerMathOpTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.integer.IntegerToOneHotTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.integer.IntegerToOneHotTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.integer.ReplaceEmptyIntegerWithValueTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.integer.ReplaceEmptyIntegerWithValueTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.integer.ReplaceInvalidWithIntegerTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.integer.ReplaceInvalidWithIntegerTransform
Transform an object in to another object
map(Object) - Method in class org.datavec.api.transform.transform.longtransform.LongColumnsMathOpTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.longtransform.LongMathOpTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.longtransform.LongMathOpTransform
Transform an object in to another object
map(List<Writable>) - Method in interface org.datavec.api.transform.Transform
Transform a writable in to another writable
map(Object) - Method in interface org.datavec.api.transform.Transform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.parse.ParseDoubleTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.parse.ParseDoubleTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.sequence.SequenceOffsetTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.sequence.SequenceOffsetTransform
 
map(Writable) - Method in class org.datavec.api.transform.transform.string.AppendStringColumnTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.AppendStringColumnTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.BaseStringTransform
Transform the writable in to a string
map(Writable) - Method in class org.datavec.api.transform.transform.string.ChangeCaseStringTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.ChangeCaseStringTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.string.ConcatenateStringColumns
 
map(Object) - Method in class org.datavec.api.transform.transform.string.ConcatenateStringColumns
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.ConvertToString
Transform the writable in to a string
map(Object) - Method in class org.datavec.api.transform.transform.string.ConvertToString
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.MapAllStringsExceptListTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.MapAllStringsExceptListTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.RemoveWhiteSpaceTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.RemoveWhiteSpaceTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.ReplaceEmptyStringTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.ReplaceEmptyStringTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.ReplaceStringTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.ReplaceStringTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.string.StringListToCategoricalSetTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.StringListToCategoricalSetTransform
Transform an object in to another object
map - Variable in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
map(List<Writable>) - Method in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.string.StringMapTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.string.StringMapTransform
Transform an object in to another object
map(List<Writable>) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.time.StringToTimeTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.time.StringToTimeTransform
Transform an object in to another object
map(Writable) - Method in class org.datavec.api.transform.transform.time.TimeMathOpTransform
 
map(Object) - Method in class org.datavec.api.transform.transform.time.TimeMathOpTransform
Transform an object in to another object
map - Variable in class org.nd4j.linalg.primitives.Counter
 
map(InfoMap) - Method in class org.nd4j.nativeblas.Nd4jCpuPresets
 
map(InfoMap) - Method in class org.nd4j.nativeblas.Nd4jCudaPresets
 
map(String[], int) - Method in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer.VirtualNode
 
map(String) - Method in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer.VirtualTree
PLEASE NOTE: This method expects binary octets inside the string argument
MAP_FILE_INDEX_INTERVAL_KEY - Static variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
Configuration key for the map file interval.
MAP_FILE_INDEX_INTERVAL_KEY - Static variable in class org.datavec.spark.storage.SparkStorageUtils
Configuration key for the map file interval.
MAP_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto
 
MapAllStringsExceptListTransform - Class in org.datavec.api.transform.transform.string
This method maps all String values, except those is the specified list, to a single String value
MapAllStringsExceptListTransform(String, String, List<String>) - Constructor for class org.datavec.api.transform.transform.string.MapAllStringsExceptListTransform
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.BooleanAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueIntIndexArrayAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueNDArrayShapeAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.IntArrayIntIndexAdpater
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.NDArrayShapeAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdpater
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in class org.nd4j.imports.descriptors.properties.adapters.StringNotEqualsAdapter
 
mapAttributeFor(Object, Field, DifferentialFunction) - Method in interface org.nd4j.imports.descriptors.properties.AttributeAdapter
Map the attribute using the specified field on the specified function on adapting the given input type to the type of the field for the specified function.
mapConstraint(String, KerasLayerConfiguration, Map<String, Object>) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils
Map Keras to DL4J constraint.
mapCounters() - Static method in class org.nd4j.aeron.util.AeronStat
 
MapDBStatsStorage - Class in org.deeplearning4j.ui.storage.mapdb
An implementation of the StatsStorage interface, backed by MapDB (in-memory or file).
See also InMemoryStatsStorage and FileStatsStorage
MapDBStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
MapDBStatsStorage(File) - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
MapDBStatsStorage.Builder - Class in org.deeplearning4j.ui.storage.mapdb
 
MapDbStatusStorage - Class in org.nd4j.parameterserver.status.play
MapDB status storage
MapDbStatusStorage(long, long) - Constructor for class org.nd4j.parameterserver.status.play.MapDbStatusStorage
 
MapDbStatusStorage() - Constructor for class org.nd4j.parameterserver.status.play.MapDbStatusStorage
 
mapFeatures(List<String>) - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
MapFileReader<V> - Class in org.datavec.hadoop.records.reader.mapfile
A wrapper around a Hadoop MapFile.Reader, used in MapFileRecordReader and MapFileSequenceRecordReader Note: This also handles multiple map files, such as the output from Spark, which gives a set of map files in directories like /part-r-00000, /part-r-00001
MapFileReader(String) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileReader
 
MapFileReader(String, IndexToKey, Class<? extends Writable>) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileReader
 
MapFileReader(List<String>, IndexToKey, Class<? extends Writable>) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileReader
 
MapFileRecordReader - Class in org.datavec.hadoop.records.reader.mapfile
A RecordReader implementation for reading from a Hadoop MapFile
MapFileRecordReader() - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
Create a MapFileRecordReader with no randomisation, and assuming MapFile keys are LongWritable values
MapFileRecordReader(Random) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
Create a MapFileRecordReader with optional randomisation, and assuming MapFile keys are LongWritable values
MapFileRecordReader(IndexToKey, Random) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
Create a MapFileRecordReader with optional randomisation, with a custom IndexToKey instance to handle MapFile keys
MapFileRecordWriter - Class in org.datavec.hadoop.records.writer.mapfile
MapFileRecordWriter is used to write values to a Hadoop MapFile, that can then be read by: MapFileRecordReader
MapFileRecordWriter(File) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
Constructor for all default values.
MapFileRecordWriter(File, int) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
Constructor for most default values.
MapFileRecordWriter(File, WritableType) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
MapFileRecordWriter(File, int, WritableType) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
MapFileRecordWriter(File, int, WritableType, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
MapFileRecordWriter(File, int, WritableType, int, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
MapFileRecordWriter(File, int, WritableType, int, String, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
MapFileSequenceRecordReader - Class in org.datavec.hadoop.records.reader.mapfile
A SequenceRecordReader implementation for reading from a Hadoop MapFile
MapFileSequenceRecordReader() - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
Create a MapFileSequenceRecordReader with no randomisation, and assuming MapFile keys are LongWritable values
MapFileSequenceRecordReader(Random) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
Create a MapFileSequenceRecordReader with optional randomisation, and assuming MapFile keys are LongWritable values
MapFileSequenceRecordReader(IndexToKey, Random) - Constructor for class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
Create a MapFileSequenceRecordReader with optional randomisation, with a custom IndexToKey instance to handle MapFile keys
MapFileSequenceRecordWriter - Class in org.datavec.hadoop.records.writer.mapfile
MapFileSequenceRecordWriter is used to write sequence values to a Hadoop MapFile, that can then be read by: MapFileSequenceRecordReader
MapFileSequenceRecordWriter(File) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
Constructor for all default values.
MapFileSequenceRecordWriter(File, int) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
Constructor for most default values.
MapFileSequenceRecordWriter(File, WritableType) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
 
MapFileSequenceRecordWriter(File, int, WritableType) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
 
MapFileSequenceRecordWriter(File, int, WritableType, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
 
MapFileSequenceRecordWriter(File, int, WritableType, int, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
 
MapFileSequenceRecordWriter(File, int, WritableType, int, String, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.MapFileSequenceRecordWriter
 
mapFileSplitSize - Variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
mapGlobalPoolingDimensions(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPoolingUtils
Map Keras pooling layers to DL4J pooling dimensions.
mapIndexOntoTensor(int, INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath
This maps an index of a vector on to a vector in the matrix that can be used for indexing in to a tensor
mapIndexOntoVector(int, INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
This maps an index of a vector on to a vector in the matrix that can be used for indexing in to a tensor
mapLossFunction(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLossUtils
Map Keras to DL4J loss functions.
mapNodeType(NODE_TYPE, ImportState<GRAPH_TYPE, TENSOR_TYPE>) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
Map a node in to the import state covering the SameDiff instance
mapNodeType(OnnxProto3.NodeProto, ImportState<OnnxProto3.GraphProto, OnnxProto3.TypeProto.Tensor>) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
 
mapNodeType(NodeDef, ImportState<GraphDef, NodeDef>) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
 
mapOptimizer(Map<String, Object>) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasOptimizerUtils
Map Keras optimizer to DL4J IUpdater.
mapper() - Static method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
mapper() - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Object mapper for serialization of configurations
MapPerPartitionVoidFunction - Class in org.deeplearning4j.spark.text.functions
 
MapPerPartitionVoidFunction() - Constructor for class org.deeplearning4j.spark.text.functions.MapPerPartitionVoidFunction
 
mapperYaml() - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Object mapper for serialization of configurations
mappingsForFunction() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Returns the mappings for a given function ( for tensorflow and onnx import mapping properties of this function).
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorSizeV3
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicPartition
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MirrorPad
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ParallelConcat
 
mappingsForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
mapPoolingType(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPoolingUtils
Map Keras pooling layers to DL4J pooling types.
mapProperties(DifferentialFunction, NODE_TYPE, GRAPH_TYPE, SameDiff, Map<String, Map<String, PropertyMapping>>) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
 
mapProperties(DifferentialFunction, NODE_TYPE, GRAPH_TYPE, SameDiff, Map<String, Map<String, PropertyMapping>>) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
 
mapProperty(String, DifferentialFunction, NODE_TYPE, GRAPH_TYPE, SameDiff, Map<String, Map<String, PropertyMapping>>) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
 
mapProperty(String, DifferentialFunction, OnnxProto3.NodeProto, OnnxProto3.GraphProto, SameDiff, Map<String, Map<String, PropertyMapping>>) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
 
mapProperty(String, DifferentialFunction, NodeDef, GraphDef, SameDiff, Map<String, Map<String, PropertyMapping>>) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
 
MapRank - Interface in org.datavec.audio.fingerprint
 
MapRankDouble - Class in org.datavec.audio.fingerprint
 
MapRankDouble(Map<?, Double>, boolean) - Constructor for class org.datavec.audio.fingerprint.MapRankDouble
 
MapRankInteger - Class in org.datavec.audio.fingerprint
 
MapRankInteger(Map<?, Integer>, boolean) - Constructor for class org.datavec.audio.fingerprint.MapRankInteger
 
mapRRMDSI(JavaRDD<List<Writable>>, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
Apply a single reader RecordReaderMultiDataSetIterator to a JavaRDD<List<Writable>>.
mapRRMDSI(List<JavaRDD<List<Writable>>>, List<JavaRDD<List<List<Writable>>>>, int[], int[], boolean, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
Apply to an arbitrary mix of non-sequence and sequence data, in the form of JavaRDD<List<Writable>> and JavaRDD<List<List<Writable>>>.
Note: this method performs a join by key.
mapRRMDSIRecords(JavaRDD<DataVecRecords>, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
 
mapRRMDSISeq(JavaRDD<List<List<Writable>>>, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
Apply a single sequence reader RecordReaderMultiDataSetIterator to sequence data, in the form of JavaRDD<List<List<Writable>>>.
maps - Variable in class org.nd4j.linalg.primitives.CounterMap
 
MapSchedule - Class in org.nd4j.linalg.schedule
MapSchedule is a schedule based on specific values in a Map<Integer,Double>.
For example, if the map contains the following: (0,1.0), (10,0.5), (20, 0.2) then iteration/epoch 0 to 9 inclusive will have value 1.0, 10 to 19 will have 0.5, and 20+ will have value 0.2.
Note that the map MUST have a key for position 0 - this is the initial value.
MapSchedule(ScheduleType, Map<Integer, Double>) - Constructor for class org.nd4j.linalg.schedule.MapSchedule
 
MapSchedule.Builder - Class in org.nd4j.linalg.schedule
DynamicCustomOpsBuilder for conveniently constructing map schedules
mapSequence(Object) - Method in class org.datavec.api.transform.ndarray.NDArrayColumnsMathOpTransform
 
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.sequence.ReduceSequenceTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.sequence.ReduceSequenceTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.sequence.trim.SequenceTrimTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.sequence.trim.SequenceTrimTransform
 
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.BaseColumnTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.BaseTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.categorical.CategoricalToIntegerTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.categorical.CategoricalToOneHotTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.categorical.IntegerToCategoricalTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.categorical.PivotTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.categorical.StringToCategoricalTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.column.AddConstantColumnTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.column.AddConstantColumnTransform
 
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.column.DuplicateColumnsTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.column.DuplicateColumnsTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.column.RemoveAllColumnsExceptForTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.column.RemoveColumnsTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.column.RenameColumnsTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.column.RenameColumnsTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.column.ReorderColumnsTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.column.ReorderColumnsTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.condition.ConditionalCopyValueTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.condition.ConditionalCopyValueTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransformWithDefault
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransformWithDefault
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleColumnsMathOpTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleMathOpTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.floattransform.FloatColumnsMathOpTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.floattransform.FloatMathOpTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.integer.IntegerColumnsMathOpTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.integer.IntegerToOneHotTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.longtransform.LongColumnsMathOpTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in interface org.datavec.api.transform.Transform
Transform a sequence
mapSequence(Object) - Method in interface org.datavec.api.transform.Transform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.parse.ParseDoubleTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.sequence.SequenceOffsetTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.sequence.SequenceOffsetTransform
 
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.string.ConcatenateStringColumns
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.string.ConcatenateStringColumns
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.string.StringListToCategoricalSetTransform
Transform a sequence
mapSequence(Object) - Method in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
Transform a sequence
mapSequence(List<List<Writable>>) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform
 
mapSequence(Object) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform
Transform a sequence
mapTensorProto(OnnxProto3.TensorProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
 
mapTensorProto(TensorProto) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
 
mapToActivation(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils
Map Keras to DL4J activation functions.
MapToBytesPairWritableFunction - Class in org.datavec.spark.functions.pairdata
A function to read files (assuming exactly 2 per input) from a PortableDataStream and combine the contents into a BytesPairWritable
MapToBytesPairWritableFunction() - Constructor for class org.datavec.spark.functions.pairdata.MapToBytesPairWritableFunction
 
mapToIActivation(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils
Map Keras to DL4J activation functions.
mapToPair(Map<K, V>) - Static method in class org.nd4j.linalg.function.FunctionalUtils
Convert a map with a set of entries of type K for key and V for value in to a list of Pair
MapToPairForReducerFunction - Class in org.datavec.local.transforms.reduce
 
MapToPairForReducerFunction() - Constructor for class org.datavec.local.transforms.reduce.MapToPairForReducerFunction
 
MapToPairForReducerFunction - Class in org.datavec.spark.transform.reduce
 
MapToPairForReducerFunction() - Constructor for class org.datavec.spark.transform.reduce.MapToPairForReducerFunction
 
MapToPairFunction - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
MapToPairFunction() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.MapToPairFunction
 
MapTupleToPairFlatMap<T,U> - Class in org.deeplearning4j.spark.impl.common.repartition
This is a simple function used to convert a JavaRDD<Tuple2<T,U>> to a JavaPairRDD<T,U> via a {JavaRDD.mappartitionsToPair()} call.
MapTupleToPairFlatMap() - Constructor for class org.deeplearning4j.spark.impl.common.repartition.MapTupleToPairFlatMap
 
mapWeightInitialization(String, KerasLayerConfiguration, Map<String, Object>, int) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUtils
Map Keras to DL4J weight initialization functions.
margin(LengthUnit, Integer, Integer, Integer, Integer) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
margin(LengthUnit, Double, Double, Double, Double) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
marginBottom - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginBottom - Variable in class org.deeplearning4j.ui.api.Style
 
marginLeft - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginLeft - Variable in class org.deeplearning4j.ui.api.Style
 
marginRight - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginRight - Variable in class org.deeplearning4j.ui.api.Style
 
margins(int, int, int, int) - Method in class org.datavec.api.transform.ui.components.RenderableComponentHistogram.Builder
 
margins(int, int, int, int) - Method in class org.datavec.api.transform.ui.components.RenderableComponentLineChart.Builder
 
marginTop - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginTop - Variable in class org.deeplearning4j.ui.api.Style
 
marginUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginUnit - Variable in class org.deeplearning4j.ui.api.Style
 
markActive(String, boolean) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method allows to set specified node active or inactive.
markAsCompressed(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method marks INDArray instance as compressed PLEASE NOTE: Do not use this method unless you 100% have to
markAsCompressed(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
markAsCompressed(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method marks INDArray instance as compressed PLEASE NOTE: Do not use this method unless you 100% have to
markAsLabel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method specifies, whether this element should be treated as label for some sequence/document or not.
markAsPreProcessed() - Method in class org.nd4j.linalg.dataset.DataSet
 
markBranch(int, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
markBranch(int, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
markDestoryed() - Method in class org.nd4j.jita.allocator.pointers.cuda.cudaEvent_t
 
markEnqueued(boolean) - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
markExecuted(String, boolean) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method allows to toggle wasExecuted() state for specified node
markExecuted(int, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
markExecuted(int, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
markExternal(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
This method returns InputType of this variable
markExternal(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
This method returns InputType of this variable
markExternal(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
This method returns InputType of this variable
markExternal(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
This method returns InputType of this variable
markExternal(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
This method returns InputType of this variable
markExternal(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
This method returns InputType of this variable
markFrameActive(long, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
markFrameActive(long, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
markInplace(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContextPrototype
 
markInplace(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContextPrototype
 
markInplace(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContextPrototype
 
markInplace(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContextPrototype
 
markInplace(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContextPrototype
 
markInplace(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContextPrototype
 
markNodeActive(int, boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
markNodeActive(int, boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
markReadOnly(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
markReadOnly(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
markReadOnly(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
markReadOnly(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
markReadOnly(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
markReadOnly(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
markRemovable(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
markRemovable(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
markRemovable(boolean) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
markRemovable(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
markRemovable(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
markRemovable(boolean) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
mask - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
maskArray - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
maskArray - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
maskedPoolingConvolution(PoolingType, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
maskedPoolingEpsilonCnn(PoolingType, INDArray, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
maskedPoolingEpsilonTimeSeries(PoolingType, INDArray, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
maskedPoolingTimeSeries(PoolingType, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
MaskedReductionUtil - Class in org.deeplearning4j.util
This is a TEMPORARY class for implementing global pooling with masking.
MaskLayer - Class in org.deeplearning4j.nn.conf.layers.util
MaskLayer applies the mask array to the forward pass activations, and backward pass gradients, passing through this layer.
MaskLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
MaskLayer - Class in org.deeplearning4j.nn.layers.util
MaskLayer applies the mask array to the forward pass activations, and backward pass gradients, passing through this layer.
MaskLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.util.MaskLayer
 
maskShape - Variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
MaskState - Enum in org.deeplearning4j.nn.api
MaskState: specifies whether a mask should be applied or not.
maskState - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
MaskZeroLayer - Class in org.deeplearning4j.nn.conf.layers.util
 
MaskZeroLayer(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
MaskZeroLayer - Class in org.deeplearning4j.nn.layers.recurrent
Masks timesteps with 0 activation.
MaskZeroLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
MasterConnectionInfo - Class in org.nd4j.parameterserver.model
Created by agibsonccc on 10/9/16.
MasterConnectionInfo() - Constructor for class org.nd4j.parameterserver.model.MasterConnectionInfo
 
masterConnectionInfo() - Method in class org.nd4j.parameterserver.ParameterServerSubscriber
When this is a master node, it returns the connection url for this node, it's slaves (if any exist) and the responder connection url in the form of: host:port:streamId
masterStarted() - Method in class org.nd4j.parameterserver.client.ParameterServerClient
Sends a post request to the status server to determine if the master node is started.
MasterStatus - Class in org.nd4j.parameterserver.model
Status of a master node, covered both by the master node itself and its responder.
MasterStatus() - Constructor for class org.nd4j.parameterserver.model.MasterStatus
 
match(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
match(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
match(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
match(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
match(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Return a mask on whether each element matches the given condition
match(Number, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns a mask
matchCondition(SDVariable, Condition) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Returns a boolean mask of equal shape to the input, where the condition is satisfied
matchCondition(SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns a boolean mask of equal shape to the input, where the condition is satisfied - value 1 where satisfied, 0 otherwise
matchCondition(String, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns a boolean mask of equal shape to the input, where the condition is satisfied - value 1 where satisfied, 0 otherwise
MatchCondition - Class in org.nd4j.linalg.api.ops.impl.accum
This operation returns number of elements matching specified condition
MatchCondition(SameDiff, SDVariable, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
 
MatchCondition() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
 
MatchCondition(INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
 
MatchCondition(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
 
matchConditionCount(SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Returns a count of the number of elements that satisfy the condition
matchConditionCount(SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns a count of the number of elements that satisfy the condition
matchConditionCount(String, SDVariable, Condition) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns a count of the number of elements that satisfy the condition
matchConditionCount(String, SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns a count of the number of elements that satisfy the condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.
MatchConditionTransform - Class in org.nd4j.linalg.api.ops.impl.transforms
Absolute sum the components
MatchConditionTransform(SameDiff, SDVariable, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
MatchConditionTransform() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
MatchConditionTransform(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
MatchConditionTransform(INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
MatchConditionTransform(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
MatchConditionTransform(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
matches(Field) - Method in interface org.nd4j.linalg.io.ReflectionUtils.FieldFilter
 
matches(Method) - Method in interface org.nd4j.linalg.io.ReflectionUtils.MethodFilter
 
matchesAnyStopWord(List<String>, String) - Static method in class org.datavec.nlp.movingwindow.Util
 
matchesAnyStopWord(List<String>, String) - Static method in class org.deeplearning4j.text.movingwindow.Util
 
matchesTypeName(Class<?>, String) - Static method in class org.nd4j.linalg.io.ClassUtils
 
MathFunction - Enum in org.datavec.api.transform
Enumeration for mathematical functions
MathOp - Enum in org.datavec.api.transform
Mathematical operations for Double, Integer and Long columns
Add
Subtract
Multiply
Divide
Modulus
Reverse subtract: do scalar - x (instead of x-scalar in Subtract)
Reverse divide: do scalar/x (instead of x/scalar in Divide)
Scalar min: return Min(scalar,x)
Scalar max: return Max(scalar,x)
mathOp - Variable in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
MathOp<T extends java.lang.Number> - Class in org.deeplearning4j.arbiter.optimize.parameter.math
A simple parameter space that implements scalar mathematical operations on another parameter space.
MathOp(ParameterSpace<T>, Op, T) - Constructor for class org.deeplearning4j.arbiter.optimize.parameter.math.MathOp
 
MathUtil - Class in org.ansj.util
 
MathUtil() - Constructor for class org.ansj.util.MathUtil
 
MathUtils - Class in org.deeplearning4j.clustering.util
This is a math utils class.
MathUtils() - Constructor for class org.deeplearning4j.clustering.util.MathUtils
 
MathUtils - Class in org.nd4j.linalg.util
This is a math jcuda.utils class.
MathUtils() - Constructor for class org.nd4j.linalg.util.MathUtils
 
MatlabInputFormat - Class in org.datavec.api.formats.input.impl
Matlab input format
MatlabInputFormat() - Constructor for class org.datavec.api.formats.input.impl.MatlabInputFormat
 
MatlabRecordReader - Class in org.datavec.api.records.reader.impl.misc
Matlab record reader
MatlabRecordReader() - Constructor for class org.datavec.api.records.reader.impl.misc.MatlabRecordReader
 
MatlabRecordWriter - Class in org.datavec.api.records.writer.impl.misc
Write matlab records
MatlabRecordWriter() - Constructor for class org.datavec.api.records.writer.impl.misc.MatlabRecordWriter
 
matricesPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
The number of vectors in each slice of an ndarray.
MatrixBaseNDArrayList<X extends BaseNDArrayList> - Class in org.nd4j.list.matrix
An ArrayList like implementation of List using INDArray as the backing data structure.
MatrixBaseNDArrayList() - Constructor for class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
matrixDeterminant(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
matrixDeterminant(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
matrixDeterminant(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix determinant op.
MatrixDeterminant - Class in org.nd4j.linalg.api.ops.impl.transforms
Matrix Determinant op Given input with shape [..., N, N] output the determinant for each sub-matrix.
MatrixDeterminant() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixDeterminant
 
MatrixDeterminant(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixDeterminant
 
MatrixDiag - Class in org.nd4j.linalg.api.ops.impl.transforms
 
MatrixDiag() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiag
 
MatrixDiag(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiag
 
MatrixDiagPart - Class in org.nd4j.linalg.api.ops.impl.transforms
 
MatrixDiagPart() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiagPart
 
MatrixDiagPart(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiagPart
 
matrixInverse(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
matrixInverse(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
matrixInverse(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix inverse op.
MatrixInverse - Class in org.nd4j.linalg.api.ops.impl.transforms
Matrix Inverse Function
MatrixInverse() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixInverse
 
MatrixInverse(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixInverse
 
MatrixNDArrayList - Class in org.nd4j.list.matrix
A MatrixBaseNDArrayList for double data type
MatrixNDArrayList() - Constructor for class org.nd4j.list.matrix.MatrixNDArrayList
 
MatrixSetDiag - Class in org.nd4j.linalg.api.ops.impl.transforms
 
MatrixSetDiag(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixSetDiag
 
MatrixSetDiag() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MatrixSetDiag
 
MatrixUtil - Class in org.ansj.util
 
MatrixUtil() - Constructor for class org.ansj.util.MatrixUtil
 
matthewsCorrelation(int) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the binary Mathews correlation coefficient, for the specified class.
MCC = (TP*TN - FP*FN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))
matthewsCorrelation(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average binary Mathews correlation coefficient, using macro or micro averaging.
MCC = (TP*TN - FP*FN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))
Note: This is NOT the same as the multi-class Matthews correlation coefficient
matthewsCorrelation(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Calculate the Matthews correlation coefficient for the specified output
matthewsCorrelation(long, long, long, long) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the binary Matthews correlation coefficient from counts
max(double) - Method in class org.datavec.api.transform.analysis.columns.DoubleAnalysis.Builder
 
max(int) - Method in class org.datavec.api.transform.analysis.columns.IntegerAnalysis.Builder
 
max(long) - Method in class org.datavec.api.transform.analysis.columns.LongAnalysis.Builder
 
max(long) - Method in class org.datavec.api.transform.analysis.columns.TimeAnalysis.Builder
 
max - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
max(JavaRDD<List<Writable>>, String, Schema) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Get the maximum value for the specified column
max(DataRowsFacade, String) - Static method in class org.datavec.spark.transform.DataFrames
Max for a column
max(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
max(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
max(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
max(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
max(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Max array reduction operation, optionally along specified dimensions
max(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Max array reduction operation, optionally along specified dimensions
max(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Max array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.
max(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise maximum operation: out[i] = max(first[i], second[i])
Supports broadcasting
max(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise maximum operation: out[i] = max(first[i], second[i])
Supports broadcasting
max(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
max(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
max(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
max(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
max(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns the overall max of this ndarray
max(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
max(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the overall max of this ndarray along given dimensions
Max - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate the max over an array
Max(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
Initialize with the given input, pairwise transform, result, and number of elements
Max(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max(INDArray, INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
 
Max - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
Max function
Max() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
 
Max(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
 
Max(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
 
Max(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
 
max(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast max op.
max(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
 
max(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
 
max(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Maximum function with a scalar
max(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Maximum function with a scalar
max(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Element wise maximum function between 2 INDArrays
max(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Element wise maximum function between 2 INDArrays
max(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns the maximum value in the array
max(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
 
MAX_BYTE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
MAX_CODE_LENGTH - Variable in class org.deeplearning4j.models.word2vec.Huffman
 
MAX_COORD - Static variable in class org.nd4j.nativeblas.Nd4jCpu
 
MAX_COORD - Static variable in class org.nd4j.nativeblas.Nd4jCuda
 
MAX_COUNT - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
MAX_DIMENSION - Static variable in class org.nd4j.nativeblas.Nd4jCpu
Copyright (c) 2015-2018 Skymind, Inc.
MAX_DIMENSION - Static variable in class org.nd4j.nativeblas.Nd4jCuda
Copyright (c) 2015-2018 Skymind, Inc.
MAX_ELEMENTS_PER_SLICE - Static variable in class org.nd4j.linalg.factory.Nd4j
 
MAX_EXECUTION_QUEUE - Static variable in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
MAX_EXP - Static variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
MAX_EXP - Static variable in class org.nd4j.parameterserver.distributed.VoidParameterServer
 
MAX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
 
MAX_NUM_THREADS - Static variable in class org.nd4j.nativeblas.Nd4jCpu
 
MAX_NUM_THREADS - Static variable in class org.nd4j.nativeblas.Nd4jCuda
 
MAX_QUERY_RETRIES - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
MAX_RANK - Static variable in class org.nd4j.nativeblas.Nd4jCpu
 
MAX_RANK - Static variable in class org.nd4j.nativeblas.Nd4jCuda
 
MAX_SCORE_VS_ITER_PTS - Static variable in class org.deeplearning4j.arbiter.ui.listener.ArbiterStatusListener
 
MAX_SLICES_TO_PRINT - Static variable in class org.nd4j.linalg.factory.Nd4j
 
MAX_STREAMS_PER_DEVICE - Static variable in class org.nd4j.jita.allocator.context.impl.BasicContextPool
 
MAX_UINT - Static variable in class org.nd4j.nativeblas.Nd4jCpu
 
MAX_UINT() - Static method in class org.nd4j.nativeblas.Nd4jCpu
Copyright (c) 2015-2018 Skymind, Inc.
MAX_UINT - Static variable in class org.nd4j.nativeblas.Nd4jCuda
 
MAX_UINT() - Static method in class org.nd4j.nativeblas.Nd4jCuda
Copyright (c) 2015-2018 Skymind, Inc.
maxArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
This method returns maximum number of shapes being passed per Aggregate
maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
maxBatchesPerWorker - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
maxBp(SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
MaxBp - Class in org.nd4j.linalg.api.ops.impl.accum.bp
Backprop op for Max reduction operation
MaxBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MaxBp
 
MaxBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MaxBp
 
MaxBp() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MaxBp
 
MaxCandidatesCondition - Class in org.deeplearning4j.arbiter.optimize.api.termination
Terminate hyperparameter search when the total number of candidates exceeds a specified value
MaxCandidatesCondition() - Constructor for class org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition
 
maxColumn(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the maximum value
maxConcurrentTasks() - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
maxConcurrentTasks() - Method in class org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner
 
maxCount(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
maxCount(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
maxCycle - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
MaxEpochsTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training if the number of epochs exceeds the maximum number of epochs
MaxEpochsTerminationCondition(int) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
maxFrom(Model, Element) - Method in class org.ansj.app.crf.pojo.Element
 
maxIndex(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns index of maximum element in a given array of doubles.
maxIndex(double[]) - Static method in class org.deeplearning4j.rl4j.mdp.toy.HardDeteministicToy
 
maxIndex(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
Returns index of maximum element in a given array of doubles.
maxIndexArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
This method returns maximum number of IndexArguments per Aggregate
maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
maxIntArrays() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
This method returns maximum number of IntArrays being passed per Aggregate
maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
maxIntArraySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
This method returns maximum length for IntArrays, if any
maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
maxIter - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
maxIter - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
maxIter - Variable in class org.deeplearning4j.plot.Tsne
 
maxLabels - Variable in class org.datavec.api.io.filters.BalancedPathFilter
 
maxLength(int) - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
maxmemory - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
maxMemory(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
This method allows you to specify maximum memory available for CoOccurrence map builder.
maxmemory - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
maxmemory - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
maxMemory(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
This method allows you to specify maximum memory available for CoOccurrence map builder.
maxMemory(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method allows you to specify maximum memory available for CoOccurrence map builder.
MaxNormConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the maximum L2 norm of the incoming weights for each unit to be less than or equal to the specified value.
MaxNormConstraint(double, Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint
 
MaxNormConstraint(double, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint
Apply to weights but not biases by default
maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
maxNumBatches(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Optional argument, usually not used.
maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
maxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
maxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
maxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns maximum value in this INDArray
maxNumBytes(int) - Method in class org.datavec.api.transform.analysis.columns.BytesAnalysis.Builder
 
maxNumLineSearchIterations(int) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
maxNumLineSearchIterations(ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
maxNumLineSearchIterations - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
maxNumLineSearchIterations(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Maximum number of line search iterations.
maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
maxNumLineSearchIterations(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
MaxOut - Class in org.nd4j.linalg.api.ops.impl.transforms
Max out activation: http://arxiv.org/pdf/1302.4389.pdf
MaxOut(SameDiff, SDVariable, boolean, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut(SameDiff, SDVariable, long[], boolean, Object[], Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut(SameDiff, SDVariable, Object[], Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
MaxOut(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
maxOutcomeForRow(int) - Method in class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
Get the max index for the given row
maxOutcomes() - Method in class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
 
maxPaths - Variable in class org.datavec.api.io.filters.RandomPathFilter
 
maxPathsPerLabel - Variable in class org.datavec.api.io.filters.BalancedPathFilter
 
MaxPerPartitionAccumulator - Class in org.deeplearning4j.spark.text.accumulators
 
MaxPerPartitionAccumulator() - Constructor for class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
maxPool3x3(int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
maxPooling2d(SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Max pooling 2d operation.
maxPooling2d(SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D Convolution layer operation - max pooling 2d
maxPooling2d(String, SDVariable, Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D Convolution layer operation - max pooling 2d
MaxPooling2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Max Pooling2D operation
MaxPooling2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
MaxPooling2D(SameDiff, SDVariable, INDArray, INDArray, Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
maxPooling3d(SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Max pooling 3d operation.
maxPooling3d(SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
3D convolution layer operation - max pooling 3d operation.
maxPooling3d(String, SDVariable, Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
3D convolution layer operation - max pooling 3d operation.
maxPoolNxN(int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
maxRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
This method returns maximum number of real (float/double) per Aggregate
maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
MaxScoreIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Iteration termination condition for terminating training if the minibatch score exceeds a certain value.
MaxScoreIterationTerminationCondition(double) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
maxSentenceLength(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Maximum sentence/document length.
maxSequenceLength(int) - Method in class org.datavec.api.transform.schema.SequenceSchema.Builder
 
maxShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
This method returns maximum number of shapes being passed per Aggregate
maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
maxSize - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration
This variable specifies maximal workspace size
MaxTimeCondition - Class in org.deeplearning4j.arbiter.optimize.api.termination
Terminate hyperparameter optimization after a fixed amount of time has passed
MaxTimeCondition(long, TimeUnit) - Constructor for class org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition
 
MaxTimeIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training based on max time.
MaxTimeIterationTerminationCondition(long, TimeUnit) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
maxValue() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValue(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
MAYBE_TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto
 
mcxent(String, SDVariable, SDVariable, SDVariable, LossFunctions.Reduction, int...) - Static method in class org.nd4j.autodiff.loss.LossFunctions
Multi-Class Cross Entropy loss function:
L = sum_i actual_i * log( predicted_i )
mdp - Variable in class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscrete
 
mdp - Variable in class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CThreadDiscrete
 
mdp - Variable in class org.deeplearning4j.rl4j.learning.async.nstep.discrete.AsyncNStepQLearningThreadDiscrete
 
MDP<O,A,AS extends ActionSpace<A>> - Interface in org.deeplearning4j.rl4j.mdp
 
mds - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
mdsIterator - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
mdsIterator - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
mean - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
mean(double) - Method in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
mean - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
 
mean - Variable in class org.datavec.api.transform.transform.doubletransform.StandardizeNormalizer
 
mean(DataRowsFacade, String) - Static method in class org.datavec.spark.transform.DataFrames
Mean for a column
mean(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Computes the mean for an array of doubles.
mean(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mean(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Full array mean reduction operation
mean(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mean (average) array reduction operation, optionally along specified dimensions
mean(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mean (average) array reduction operation, optionally along specified dimensions
mean(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mean (average) array reduction operation, optionally along specified dimensions
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.
mean(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mean(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mean(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mean(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns the overall mean of this ndarray
mean(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
mean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mean(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the overall mean of this ndarray
mean(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the overall mean of this ndarray
Mean - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate the mean of the vector
Mean(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
Mean(INDArray, INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
 
mean - Variable in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
mean(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
 
mean(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
 
mean(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
Computes the mean for an array of doubles.
mean - Variable in class org.nd4j.rng.NativeRandom
 
meanAbsoluteError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
meanActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanBp(SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
MeanBp - Class in org.nd4j.linalg.api.ops.impl.accum.bp
Backprop op for Mean reduction operation
MeanBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MeanBp
 
MeanBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MeanBp
 
MeanBp() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MeanBp
 
meanColumns(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the mean of the values
meanGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
MeaningfulMessage - Interface in org.nd4j.parameterserver.distributed.messages
 
meanLength(double) - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
meanMagnitudeActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
meanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
meanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the overall mean of this ndarray
meanNumber() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns mean number of array
meanNumber() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns mean number of array
meanNumber() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns mean number of array
meanNumber() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns mean number of array
meanNumber() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns mean number of array
meanNumber() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns mean number of array
meanParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanSquaredError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
meanStdStored - Variable in class org.datavec.image.loader.CifarLoader
 
meanUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanVarPath - Variable in class org.datavec.image.loader.CifarLoader
 
median(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
median(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
median(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method returns median along given dimension(s)
medianNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
medianNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
medianNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method returns median value for this INDArray
memCellActivations - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
memCellState - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
memcpy(DataBuffer, DataBuffer) - Method in interface org.nd4j.jita.allocator.Allocator
 
memcpy(DataBuffer, DataBuffer) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method implements blocking memcpy
memcpy(DataBuffer, DataBuffer) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
Synchronous version of memcpy.
memcpy(DataBuffer, DataBuffer) - Method in interface org.nd4j.jita.handler.MemoryHandler
Synchronous version of memcpy
memcpy(DataBuffer, DataBuffer) - Method in class org.nd4j.jita.memory.CudaMemoryManager
This method provides basic memcpy functionality with respect to target environment
memcpy(DataBuffer, DataBuffer) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
memcpy(DataBuffer, DataBuffer) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method does memcpy from source buffer to destination buffer PLEASE NOTE: This method is NOT safe.
memcpy(Pointer, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
memcpy(Pointer, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
memcpy(Pointer, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
memcpyAsync(DataBuffer, Pointer, long, long) - Method in interface org.nd4j.jita.allocator.Allocator
 
memcpyAsync(DataBuffer, Pointer, long, long) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method implements asynchronous memcpy, if that's available on current hardware
memcpyAsync(DataBuffer, Pointer, long, long) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
Asynchronous version of memcpy PLEASE NOTE: This is device-dependent method, if it's not supported in your environment, blocking call will be used instead.
memcpyAsync(DataBuffer, Pointer, long, long) - Method in interface org.nd4j.jita.handler.MemoryHandler
Asynchronous version of memcpy PLEASE NOTE: This is device-dependent method, if it's not supported in your environment, blocking call will be used instead.
memcpyAsync(Pointer, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
memcpyAsync(Pointer, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
memcpyAsync(Pointer, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
memcpyBlocking(DataBuffer, Pointer, long, long) - Method in interface org.nd4j.jita.allocator.Allocator
 
memcpyBlocking(DataBuffer, Pointer, long, long) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method implements blocking memcpy
memcpyBlocking(DataBuffer, Pointer, long, long) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
Synchronous version of memcpy.
memcpyBlocking(DataBuffer, Pointer, long, long) - Method in interface org.nd4j.jita.handler.MemoryHandler
Synchronous version of memcpy.
memcpyConstantAsync(long, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
memcpyConstantAsync(long, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
memcpyConstantAsync(long, Pointer, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
memcpyDevice(DataBuffer, Pointer, long, long, CudaContext) - Method in interface org.nd4j.jita.allocator.Allocator
 
memcpyDevice(DataBuffer, Pointer, long, long, CudaContext) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
memcpyDevice(DataBuffer, Pointer, long, long, CudaContext) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
memcpyDevice(DataBuffer, Pointer, long, long, CudaContext) - Method in interface org.nd4j.jita.handler.MemoryHandler
 
MemcpyDirection - Enum in org.nd4j.linalg.memory
 
memcpySpecial(DataBuffer, Pointer, long, long) - Method in interface org.nd4j.jita.allocator.Allocator
 
memcpySpecial(DataBuffer, Pointer, long, long) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
memcpySpecial(DataBuffer, Pointer, long, long) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
Special memcpy version, addressing shapeInfoDataBuffer copies PLEASE NOTE: Blocking H->H, Async H->D
memcpySpecial(DataBuffer, Pointer, long, long) - Method in interface org.nd4j.jita.handler.MemoryHandler
 
MEMORY_BANDWIDTH_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
 
MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
MEMORY_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes
 
MEMORY_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
 
MEMORY_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
memory_threshold - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
MEMORY_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
memoryBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytes(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryBytesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryBytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryFootprint() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns number of bytes used by _buffer & _shapeInfo
memoryFootprint() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns number of bytes used by _buffer & _shapeInfo
memoryFootprint() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns number of bytes used by _buffer & _shapeInfo
memoryFootprint() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns number of bytes used by _buffer & _shapeInfo
memoryFootprint() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns number of bytes used by _buffer & _shapeInfo
memoryFootprint() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns number of bytes used by _buffer & _shapeInfo
memoryForGraph() - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns the number of bytes for the graph.
MemoryHandler - Interface in org.nd4j.jita.handler
MemoryHandler interface describes methods for data access
memoryInfo(int, InputType...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Generate information regarding memory use for the network, for the given input types and minibatch size.
memoryInfo(int, InputType) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Generate information regarding memory use for the network, for the given input type and minibatch size.
MemoryKind - Enum in org.nd4j.linalg.api.memory.enums
 
MemoryLogRawAllocation - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocation.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocationOrBuilder - Interface in org.tensorflow.framework
 
MemoryLogRawDeallocation - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocation.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocationOrBuilder - Interface in org.tensorflow.framework
 
MemoryLogStep - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogStep
MemoryLogStep.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogStep
MemoryLogStepOrBuilder - Interface in org.tensorflow.framework
 
MemoryLogTensorAllocation - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocation.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocationOrBuilder - Interface in org.tensorflow.framework
 
MemoryLogTensorDeallocation - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocation.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocationOrBuilder - Interface in org.tensorflow.framework
 
MemoryLogTensorOutput - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutput.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutputOrBuilder - Interface in org.tensorflow.framework
 
memoryManager - Static variable in class org.nd4j.linalg.factory.Nd4j
 
memoryManager - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
MemoryManager - Interface in org.nd4j.linalg.memory
 
memoryManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
memoryParameters(long, int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method allows to define buffer memory parameters for this GradientsAccumulator Default values: 100MB initialMemory, 5 queueSize
MemoryProvider - Interface in org.nd4j.jita.memory
This interface describes 2 basic methods to work with memory: malloc and free.
MemoryReport - Class in org.deeplearning4j.nn.conf.memory
A MemoryReport is designed to represent the estimated memory usage of a model, as a function of:
- Training vs.
MemoryReport() - Constructor for class org.deeplearning4j.nn.conf.memory.MemoryReport
 
MemoryStats - Class in org.tensorflow.framework
For memory tracking.
MemoryStats.Builder - Class in org.tensorflow.framework
For memory tracking.
MemoryStatsOrBuilder - Interface in org.tensorflow.framework
 
MemoryStrategy - Interface in org.nd4j.linalg.api.buffer.allocation
An allocation strategy handles allocating and freeing memory for the gpu (usually relative to the compute capabilities of the gpu)
MemoryType - Enum in org.deeplearning4j.nn.conf.memory
Type of memory
MemoryType - Enum in org.deeplearning4j.ui.stats.sbe
 
memoryType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryType(MemoryType) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryTypeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryTypeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryUse() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
memoryUse() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
memoryUse(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
memoryUseCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
MemoryUseDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryUseDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
MemoryUseEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryUseId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
MemoryUseMode - Enum in org.deeplearning4j.nn.conf.memory
This simple enumeration defines the memory is used during inference or training.
MemoryWorkspace - Interface in org.nd4j.linalg.api.memory
This interface describes reusable memory chunks abstraction
MemoryWorkspace.Type - Enum in org.nd4j.linalg.api.memory
 
MemoryWorkspaceManager - Interface in org.nd4j.linalg.api.memory
This interface describes backend-specific implementations of MemoryWorkspaceManager, basically Factory + Thread-based provider
memset(INDArray) - Method in class org.nd4j.jita.memory.CudaMemoryManager
 
memset(INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuMemoryManager
 
memset(INDArray) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method fills given INDArray with zeroes.
memset(Pointer, int, long, int, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
memset(Pointer, int, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
memset(Pointer, int, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
memsetAsync(Pointer, int, long, int, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
memsetAsync(Pointer, int, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
memsetAsync(Pointer, int, long, int, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
merage(Term) - Method in class org.ansj.domain.Term
进行term合并
merageWithBlank(Term) - Method in class org.ansj.domain.Term
进行term合并,能合并空白字符
merge(T) - Method in interface org.datavec.api.transform.analysis.AnalysisCounter
 
merge(BytesAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.BytesAnalysisCounter
 
merge(CategoricalAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.CategoricalAnalysisCounter
 
merge(DoubleAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.DoubleAnalysisCounter
 
merge(IntegerAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.IntegerAnalysisCounter
 
merge(LongAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.LongAnalysisCounter
 
merge(NDArrayAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.NDArrayAnalysisCounter
 
merge(StatCounter) - Method in class org.datavec.api.transform.analysis.counter.StatCounter
 
merge(StringAnalysisCounter) - Method in class org.datavec.api.transform.analysis.counter.StringAnalysisCounter
 
merge(HistogramCounter) - Method in class org.datavec.api.transform.analysis.histogram.CategoricalHistogramCounter
 
merge(HistogramCounter) - Method in class org.datavec.api.transform.analysis.histogram.DoubleHistogramCounter
 
merge(HistogramCounter) - Method in interface org.datavec.api.transform.analysis.histogram.HistogramCounter
 
merge(HistogramCounter) - Method in class org.datavec.api.transform.analysis.histogram.NDArrayHistogramCounter
 
merge(HistogramCounter) - Method in class org.datavec.api.transform.analysis.histogram.StringHistogramCounter
 
merge(BytesQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.bytes.BytesQualityAnalysisState
 
merge(CategoricalQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.categorical.CategoricalQualityAnalysisState
 
merge(IntegerQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.integer.IntegerQualityAnalysisState
 
merge(LongQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.longq.LongQualityAnalysisState
 
merge(T) - Method in interface org.datavec.api.transform.analysis.quality.QualityAnalysisState
 
merge(RealQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.real.RealQualityAnalysisState
 
merge(StringQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.string.StringQualityAnalysisState
 
merge(TimeQualityAnalysisState) - Method in class org.datavec.api.transform.analysis.quality.time.TimeQualityAnalysisState
 
merge(SequenceLengthAnalysisCounter) - Method in class org.datavec.spark.transform.analysis.seqlength.SequenceLengthAnalysisCounter
 
merge(StringAnalysisCounter) - Method in class org.datavec.spark.transform.analysis.string.StringAnalysisCounter
 
merge(List<T>) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
merge(List<DataSet>) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
merge(List<MultiDataSet>) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
merge(Evaluation) - Method in class org.deeplearning4j.eval.Evaluation
Merge the other evaluation object into this one.
merge(EvaluationBinary) - Method in class org.deeplearning4j.eval.EvaluationBinary
 
merge(EvaluationCalibration) - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
merge(T) - Method in interface org.deeplearning4j.eval.IEvaluation
 
merge(RegressionEvaluation) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
merge(ROC) - Method in class org.deeplearning4j.eval.ROC
Merge this ROC instance with another.
merge(ROCBinary) - Method in class org.deeplearning4j.eval.ROCBinary
 
merge(ROCMultiClass) - Method in class org.deeplearning4j.eval.ROCMultiClass
Merge this ROCMultiClass instance with another.
Merge - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
 
Merge() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
 
merge(List<DataSet>) - Static method in class org.nd4j.linalg.dataset.DataSet
Merge the list of datasets in to one list.
merge(Collection<? extends MultiDataSet>) - Static method in class org.nd4j.linalg.dataset.MultiDataSet
Merge a collection of MultiDataSet objects into a single MultiDataSet.
merge(Nd4jCpu.GraphProfile) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
This method merges values from other profile report
merge(Nd4jCpu.NodeProfile) - Method in class org.nd4j.nativeblas.Nd4jCpu.NodeProfile
 
merge(Nd4jCuda.GraphProfile) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
This method merges values from other profile report
merge(Nd4jCuda.NodeProfile) - Method in class org.nd4j.nativeblas.Nd4jCuda.NodeProfile
 
merge2d(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified 2d arrays and masks.
merge2d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified 2d arrays and masks.
merge4d(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified 4d arrays and masks.
merge4d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified 4d arrays and masks.
mergeAdd(SDVariable...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mergeAdd(SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Merge add function: merges an arbitrary number of equal shaped arrays using elementwise addition: out = sum_i in[i]
mergeAdd(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Merge add function: merges an arbitrary number of equal shaped arrays using element-wise addition: out = sum_i in[i]
MergeAddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
Addition operation for n operands, called "mergeadd" in libnd4j
MergeAddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MergeAddOp
 
MergeAddOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MergeAddOp
 
MergeAddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MergeAddOp
 
mergeAllocationDescription(AllocationDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder
Information about the size and allocator used for the data
mergeAllowedValues(AttrValue) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
A list of values that this kernel supports for this attr.
mergeAllowedValues(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
The set of allowed values.
mergeAndStoreRemainder(List<T>) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
mergeArrayIntoCollection(Object, Collection) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
mergeAudio(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.Summary.Audio audio = 6;
mergeAvg(SDVariable...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mergeAvg(SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Merge average function: merges an arbitrary number of equal shaped arrays using element-wise mean operation: out = mean_i in[i]
mergeAvg(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Merge average function: merges an arbitrary number of equal shaped arrays using element-wise mean operation: out = mean_i in[i]
MergeAvg - Class in org.nd4j.linalg.api.ops.impl.shape
 
MergeAvg(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
 
MergeAvg() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
 
mergeColumns(String...) - Method in class org.datavec.api.transform.stringreduce.StringReducer.Builder
Reduce the specified columns by taking the sum of values
mergeCoords(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will merge the coordinates of the given coordinate system.
mergeCoords(List<Double>, List<Double>) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will merge the coordinates of the given coordinate system.
mergeCoords(double[], double[]) - Static method in class org.nd4j.linalg.util.MathUtils
This will merge the coordinates of the given coordinate system.
mergeCoords(List<Double>, List<Double>) - Static method in class org.nd4j.linalg.util.MathUtils
This will merge the coordinates of the given coordinate system.
mergeCounters(List<ColumnAnalysis>, List<HistogramCounter>) - Static method in class org.datavec.api.transform.analysis.DataVecAnalysisUtils
 
mergeDefaultValue(AttrValue) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
Specify a new default value to use for this attr.
mergeDefaultValue(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
A reasonable default for this attribute if the user does not supply a value.
mergeDeprecation(OpDeprecation) - Method in class org.tensorflow.framework.OpDef.Builder
Optional deprecation based on GraphDef versions.
mergeElemType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
The type and optional shape of each element of the sequence.
mergeFeatures(INDArray[][], INDArray[][]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge all of the features arrays into one minibatch.
mergeFeatures(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified features and mask arrays (i.e., concatenate the examples)
mergeFeatures(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Extract out the specified column, and merge the specified features and mask arrays (i.e., concatenate the examples)
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
mergeFrom(OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
mergeFrom(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
mergeFrom(OnnxMlProto3.ModelProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
mergeFrom(OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
mergeFrom(OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
mergeFrom(OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
mergeFrom(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
mergeFrom(OnnxMlProto3.TensorProto.Segment) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
mergeFrom(OnnxMlProto3.TensorShapeProto) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
mergeFrom(OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
mergeFrom(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
mergeFrom(OnnxMlProto3.TypeProto.Map) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
mergeFrom(OnnxMlProto3.TypeProto.Sequence) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
mergeFrom(OnnxMlProto3.TypeProto.Tensor) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
mergeFrom(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
mergeFrom(OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
mergeFrom(OnnxOperatorsProto3.OperatorSetProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
mergeFrom(OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.GraphProto.Builder
 
mergeFrom(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.GraphProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.ModelProto.Builder
 
mergeFrom(OnnxProto3.ModelProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.ModelProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.NodeProto.Builder
 
mergeFrom(OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.NodeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
mergeFrom(OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
mergeFrom(OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.TensorProto.Builder
 
mergeFrom(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.TensorProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.TensorProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
mergeFrom(OnnxProto3.TensorProto.Segment) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
mergeFrom(OnnxProto3.TensorShapeProto) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
mergeFrom(OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.TypeProto.Builder
 
mergeFrom(OnnxProto3.TypeProto) - Method in class onnx.OnnxProto3.TypeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.TypeProto.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
mergeFrom(OnnxProto3.TypeProto.Tensor) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
mergeFrom(Message) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
mergeFrom(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
mergeFrom(AllocationDescription) - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
mergeFrom(AllocationRecord) - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
mergeFrom(AllocatorMemoryUsed) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
mergeFrom(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
mergeFrom(ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Builder
 
mergeFrom(ApiDef) - Method in class org.tensorflow.framework.ApiDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
mergeFrom(ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ApiDefs.Builder
 
mergeFrom(ApiDefs) - Method in class org.tensorflow.framework.ApiDefs.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ApiDefs.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.AttrValue.Builder
 
mergeFrom(AttrValue) - Method in class org.tensorflow.framework.AttrValue.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AttrValue.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
mergeFrom(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
mergeFrom(CostGraphDef) - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
mergeFrom(CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
mergeFrom(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
mergeFrom(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
mergeFrom(DeviceAttributes) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
mergeFrom(DeviceLocality) - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
mergeFrom(DeviceStepStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
mergeFrom(FunctionDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
mergeFrom(FunctionDefLibrary) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GradientDef.Builder
 
mergeFrom(GradientDef) - Method in class org.tensorflow.framework.GradientDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GradientDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphDef.Builder
 
mergeFrom(GraphDef) - Method in class org.tensorflow.framework.GraphDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
mergeFrom(GraphTransferInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
mergeFrom(GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
mergeFrom(GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
mergeFrom(GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
mergeFrom(GraphTransferInfo.NodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
mergeFrom(GraphTransferInfo.NodeInput) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
mergeFrom(GraphTransferInfo.NodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
mergeFrom(GraphTransferInfo.NodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
mergeFrom(HistogramProto) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
mergeFrom(KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.KernelDef.Builder
 
mergeFrom(KernelDef) - Method in class org.tensorflow.framework.KernelDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.KernelDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
mergeFrom(MemoryLogRawAllocation) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
mergeFrom(MemoryLogRawDeallocation) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
mergeFrom(MemoryLogStep) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
mergeFrom(MemoryLogTensorAllocation) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
mergeFrom(MemoryLogTensorDeallocation) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
mergeFrom(MemoryLogTensorOutput) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.MemoryStats.Builder
 
mergeFrom(MemoryStats) - Method in class org.tensorflow.framework.MemoryStats.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.MemoryStats.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
mergeFrom(NameAttrList) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.NodeDef.Builder
 
mergeFrom(NodeDef) - Method in class org.tensorflow.framework.NodeDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NodeDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
mergeFrom(NodeExecStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.NodeOutput.Builder
 
mergeFrom(NodeOutput) - Method in class org.tensorflow.framework.NodeOutput.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.NodeOutput.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
mergeFrom(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
mergeFrom(OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.OpDef.Builder
 
mergeFrom(OpDef) - Method in class org.tensorflow.framework.OpDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
mergeFrom(OpDeprecation) - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.OpList.Builder
 
mergeFrom(OpList) - Method in class org.tensorflow.framework.OpList.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.OpList.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
mergeFrom(ReaderBaseState) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
mergeFrom(RemoteFusedGraphExecuteInfo) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
mergeFrom(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
mergeFrom(ResourceHandleProto) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
mergeFrom(SaveSliceInfoDef) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.StepStats.Builder
 
mergeFrom(StepStats) - Method in class org.tensorflow.framework.StepStats.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.StepStats.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
mergeFrom(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Builder
 
mergeFrom(Summary) - Method in class org.tensorflow.framework.Summary.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Image.Builder
 
mergeFrom(Summary.Image) - Method in class org.tensorflow.framework.Summary.Image.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Image.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.Summary.Value.Builder
 
mergeFrom(Summary.Value) - Method in class org.tensorflow.framework.Summary.Value.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.Summary.Value.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
mergeFrom(SummaryDescription) - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
mergeFrom(SummaryMetadata) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
mergeFrom(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
mergeFrom(TensorDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.TensorProto.Builder
 
mergeFrom(TensorProto) - Method in class org.tensorflow.framework.TensorProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
mergeFrom(TensorShapeProto) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
mergeFrom(TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
mergeFrom(TensorSliceProto) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
mergeFrom(TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.VariableDef.Builder
 
mergeFrom(VariableDef) - Method in class org.tensorflow.framework.VariableDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.VariableDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
mergeFrom(VariantTensorDataProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.framework.VersionDef.Builder
 
mergeFrom(VersionDef) - Method in class org.tensorflow.framework.VersionDef.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.framework.VersionDef.Builder
 
mergeFrom(Message) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
mergeFrom(IteratorStateMetadata) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
mergeFrom(Message) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
mergeFrom(OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
mergeFrom(Message) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
mergeFrom(OpGenOverridesOuterClass.OpGenOverride) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
mergeFrom(Message) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
mergeFrom(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
mergeFrom(Message) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
mergeFrom(OpGenOverridesOuterClass.OpGenOverrides) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
mergeFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.Builder
"func" represents a function.
mergeG(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
graph
mergeG(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
graph
mergeGraph(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The parameterized graph that is evaluated to execute the model.
mergeGraph(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
The parameterized graph that is evaluated to execute the model.
mergeHisto(HistogramProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.HistogramProto histo = 5;
mergeImage(Summary.Image) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.Summary.Image image = 4;
mergeLabels(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified labels and label mask arrays (i.e., concatenate the examples)
mergeLabels(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Extract out the specified column, and merge the specified label and label mask arrays (i.e., concatenate the examples)
mergeLibrary(FunctionDefLibrary) - Method in class org.tensorflow.framework.GraphDef.Builder
EXPERIMENTAL.
mergeList(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.Builder
any "list(...)"
mergeLocality(DeviceLocality) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
Platform-specific data about device that may be useful for supporting efficient data transfers.
mergeMapType(OnnxMlProto3.TypeProto.Map) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
The type of a map.
mergeMasks2d(long[], INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
mergeMasks4d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
mergeMax(SDVariable...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mergeMax(SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Merge max function: merges an arbitrary number of equal shaped arrays using element-wise maximum operation: out = max_i in[i]
mergeMax(String, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Merge max function: merges an arbitrary number of equal shaped arrays using element-wise maximum operation: out = max_i in[i]
MergeMax - Class in org.nd4j.linalg.api.ops.impl.shape
 
MergeMax(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMax
 
MergeMax() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeMax
 
mergeMemoryStats(MemoryStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder
.tensorflow.MemoryStats memory_stats = 12;
mergeMetadata(SummaryMetadata) - Method in class org.tensorflow.framework.Summary.Value.Builder
Contains metadata on the summary value such as which plugins may use it.
mergePerOutputMasks2d(long[], INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
mergePerOutputMasks2d(long[], INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
mergePluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
Data that associates a summary with a certain plugin.
mergePropertiesIntoMap(Properties, Map) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
Merger() - Constructor for class org.ansj.splitWord.Analysis.Merger
 
merger() - Method in class org.ansj.splitWord.Analysis.Merger
 
mergeRemoteGraph(GraphDef) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Definition of remote graph
mergeSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.framework.VariableDef.Builder
Support for saving variables as slices of a larger variable.
mergeSegment(OnnxMlProto3.TensorProto.Segment) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
.onnx.TensorProto.Segment segment = 3;
mergeSegment(OnnxProto3.TensorProto.Segment) - Method in class onnx.OnnxProto3.TensorProto.Builder
.onnx.TensorProto.Segment segment = 3;
mergeSequences(List<List<List<Writable>>>) - Method in class org.datavec.api.transform.sequence.merge.SequenceMerge
 
mergeSequenceType(OnnxMlProto3.TypeProto.Sequence) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
The type of a sequence.
mergeShape(OnnxMlProto3.TensorShapeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
.onnx.TensorShapeProto shape = 2;
mergeShape(OnnxProto3.TensorShapeProto) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
.onnx.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.Builder
"shape"
mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
.tensorflow.TensorShapeProto shape = 3;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
.tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorDescription.Builder
Shape of the tensor.
mergeSignature(OpDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
The definition of the function's name, arguments, return values, attrs etc.
mergeStringArrays(String[], String[]) - Static method in class org.nd4j.linalg.io.StringUtils
 
MergeSum - Class in org.nd4j.linalg.api.ops.impl.shape
 
MergeSum(SameDiff, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeSum
 
MergeSum() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MergeSum
 
mergeT(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
tensor value
mergeT(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
tensor value
mergeTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.Builder
"tensor"
mergeTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
Allocated tensor details.
mergeTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
Output tensor details.
mergeTensor(TensorProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.TensorProto tensor = 8;
mergeTensorDescription(TensorDescription) - Method in class org.tensorflow.framework.NodeOutput.Builder
.tensorflow.TensorDescription tensor_description = 3;
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorProto.Builder
Shape of the tensor.
mergeTensorType(OnnxMlProto3.TypeProto.Tensor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
The type of a tensor.
mergeTensorType(OnnxProto3.TypeProto.Tensor) - Method in class onnx.OnnxProto3.TypeProto.Builder
The type of a tensor.
mergeTimeSeries(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified time series (3d) arrays and masks.
mergeTimeSeries(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Merge the specified time series (3d) arrays and masks.
mergeType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
This field MUST be present in this version of the IR.
mergeType(OnnxProto3.TypeProto) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
This field MUST be present in this version of the IR.
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.GraphProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.ModelProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.NodeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TypeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDefs.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GradientDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryStats.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeOutput.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpList.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.StepStats.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Image.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Value.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariableDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VersionDef.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
mergeUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
mergeValue(AttrValue) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
.tensorflow.AttrValue value = 2;
mergeValueType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
This field MUST be present for this version of the IR.
mergeVersions(VersionDef) - Method in class org.tensorflow.framework.GraphDef.Builder
Compatibility versions of the graph.
MergeVertex - Class in org.deeplearning4j.nn.conf.graph
A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.
Exactly how this is done depends on the type of input.
For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]
For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength]) -> [numExamples,layerSize1 + layerSize2,timeSeriesLength]
For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height]) -> [numExamples,depth1 + depth2,width,height]
MergeVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.MergeVertex
 
MergeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.
Exactly how this is done depends on the type of input.
For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]
For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength]) -> [numExamples,layerSize1 + layerSize2,timeSeriesLength]
For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height]) -> [numExamples,depth1 + depth2,width,height]
MergeVertex(ComputationGraph, String, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
MergeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
meshgrid(boolean, SDVariable...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
meshgrid(SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
meshgrid(List<String>, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Broadcast the 1D input variables onto an n-dimensional grid.
The resulting variable can be used for example for evaluating functions at all locations on a grid.
Example:
meshgrid(List<String>, boolean, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
MeshGrid - Class in org.nd4j.linalg.api.ops.impl.shape
 
MeshGrid(SameDiff, boolean, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MeshGrid
 
MeshGrid() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.MeshGrid
 
meshgrid(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Meshgrid op.
messageHandler(MessageHandler) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method allows to specify MessageHandler instance Default value: EncodingHandler
MessageHandler - Interface in org.deeplearning4j.optimize.solvers.accumulation
This interface describes communication primitive for GradientsAccumulator PLEASE NOTE: All implementations of this interface must be thread-safe.
messageHandlerClass - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
messageHandlerForClients - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
messageHandlerForShards - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
MessageHeaderDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
MessageHeaderDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
MessageHeaderEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
MessageHeaderEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
MessageQueueException - Exception in vizdoom
 
MessageQueueException(String) - Constructor for exception vizdoom.MessageQueueException
 
messages - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
messages - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
messageType - Variable in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
MetaAttribute - Enum in org.deeplearning4j.ui.stats.sbe
 
metaData() - Method in interface org.deeplearning4j.zoo.InstantiableModel
Deprecated.
No longer used, will be removed in a future release
metaData() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
metaData() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
metaData() - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
metaData() - Method in class org.deeplearning4j.zoo.model.LeNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.NASNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
metaData() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
metaData() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
metaData() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
metaData() - Method in class org.deeplearning4j.zoo.model.UNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.VGG16
 
metaData() - Method in class org.deeplearning4j.zoo.model.VGG19
 
metaData() - Method in class org.deeplearning4j.zoo.model.Xception
 
metaData() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
 
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariantTensorDataProto
 
METADATA_PROPS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
 
METADATA_PROPS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
 
metaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
metaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
MetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
metaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
MetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
metaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
MetaOp - Interface in org.nd4j.linalg.api.ops
MetaOp is special op, that contains multiple ops
method - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
metric - Variable in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
metric - Variable in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
metric - Variable in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
migrate() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method pulls this INDArray into current Workspace.
migrate(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method pulls this INDArray into current Workspace, or optionally detaches if no workspace is present.
That is:
If current workspace is present/active, INDArray is migrated to it.
If no current workspace is present/active, one of two things occur: 1.
migrate() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
migrate(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
migrate() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method pulls this INDArray into current Workspace.
migrate(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method pulls this INDArray into current Workspace, or optionally detaches if no workspace is present.
That is:
If current workspace is present/active, INDArray is migrated to it.
If no current workspace is present/active, one of two things occur: 1.
migrate() - Method in interface org.nd4j.linalg.dataset.api.DataSet
This method migrates this DataSet into current Workspace (if any)
migrate() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
This method migrates this MultiDataSet into current Workspace (if any)
migrate() - Method in class org.nd4j.linalg.dataset.DataSet
This method migrates this DataSet into current Workspace (if any)
migrate() - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
migrate() - Method in class org.nd4j.linalg.jcublas.JCublasNDArray
This method pulls this INDArray into current Workspace.
MillisecondsProvider - Class in org.nd4j.jita.allocator.time.providers
 
MillisecondsProvider() - Constructor for class org.nd4j.jita.allocator.time.providers.MillisecondsProvider
 
min(double) - Method in class org.datavec.api.transform.analysis.columns.DoubleAnalysis.Builder
 
min(int) - Method in class org.datavec.api.transform.analysis.columns.IntegerAnalysis.Builder
 
min(long) - Method in class org.datavec.api.transform.analysis.columns.LongAnalysis.Builder
 
min(long) - Method in class org.datavec.api.transform.analysis.columns.TimeAnalysis.Builder
 
min - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
min(JavaRDD<List<Writable>>, String, Schema) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Get the minimum value for the specified column
min(DataRowsFacade, String) - Static method in class org.datavec.spark.transform.DataFrames
MIn for a column
min(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
min(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
min(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
min(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
min(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Minimum array reduction operation, optionally along specified dimensions.
min(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Minimum array reduction operation, optionally along specified dimensions.
min(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Minimum array reduction operation, optionally along specified dimensions.
min(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise minimum operation: out[i] = min(first[i], second[i])
Supports broadcasting
min(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise minimum operation: out[i] = min(first[i], second[i])
Supports broadcasting
min(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
min(boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
min(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
min(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
min(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns the overall min of this ndarray
min(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
min(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the overall min of this ndarray
Min - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate the min over an array
Min(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min(INDArray, INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
 
Min - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
Min function
Min() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
 
Min(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
 
Min(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
 
Min(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
 
min(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast min op.
min(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
 
min(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
 
min(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Minimum function with a scalar
min(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Maximum function with a scalar
min(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Element wise minimum function between 2 INDArrays
min(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Element wise minimum function between 2 INDArrays
min(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns the minimum value in the array
min(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
 
MIN_ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
MIN_ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
MIN_CONSUMER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VersionDef
 
MIN_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
 
MIN_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
MIN_WORD_FREQUENCY - Static variable in class org.datavec.nlp.vectorizer.TextVectorizer
 
minBp(SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
MinBp - Class in org.nd4j.linalg.api.ops.impl.accum.bp
Backprop op for Min reduction operation
MinBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MinBp
 
MinBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MinBp
 
MinBp() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.MinBp
 
minColumns(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the minimum value
minDistance(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
minElementFrequency - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
minElementFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
minGain(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
minGain - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
minGain - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
minGain(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
minGain - Variable in class org.deeplearning4j.plot.Tsne
 
miniBatch(boolean) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
miniBatch(ParameterSpace<Boolean>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
miniBatch - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
minibatch(boolean) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
minibatch(ParameterSpace<Boolean>) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
minibatch(boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
If doing minibatch training or not.
miniBatch - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
miniBatch(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Process input as minibatch vs full dataset.
miniBatch - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
miniBatch(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Whether scores and gradients should be divided by the minibatch size.
Most users should leave this ast he default value of true.
miniBatch - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
minibatchCount - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
miniBatches() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterates over mini batches
miniBatchesJava() - Method in class org.deeplearning4j.spark.datavec.RDDMiniBatches
 
minibatchesPerSecond() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecond(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
minibatchesPerSecondId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
minibatchesPerSecondMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
minibatchesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
MiniBatchFileDataSetIterator - Class in org.nd4j.linalg.dataset
Mini batch file datasetiterator auto partitions a dataset in to mini batches
MiniBatchFileDataSetIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
MiniBatchFileDataSetIterator(DataSet, int, boolean, File) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
MiniBatchFileDataSetIterator(DataSet, int, boolean) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
MiniBatchFunction(int) - Constructor for class org.deeplearning4j.spark.datavec.RDDMiniBatches.MiniBatchFunction
 
minibatchSize(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Minibatch size to use for the DataSetIterator
minimize(boolean) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
minimize(ParameterSpace<Boolean>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
minimize - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
minimize() - Method in interface org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction
Should this score function be minimized or maximized?
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
minimize() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
minimize() - Method in enum org.deeplearning4j.eval.RegressionEvaluation.Metric
 
minimize - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
minimize(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Objective function to minimize or maximize cost function Default set to minimize true.
minimize - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
minimize(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
minimize - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
minimizeScore() - Method in interface org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
minimizeScore() - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
minimizeScore() - Method in class org.deeplearning4j.spark.earlystopping.SparkDataSetLossCalculator
 
minimizeScore() - Method in class org.deeplearning4j.spark.earlystopping.SparkLossCalculatorComputationGraph
 
MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef
 
MiniTrans<A> - Class in org.deeplearning4j.rl4j.learning.async
 
MiniTrans() - Constructor for class org.deeplearning4j.rl4j.learning.async.MiniTrans
 
minLearningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
minLearningRate(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
minLearningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
minLearningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines minimal learning rate value for training
minLearningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
minLearningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines minimum learning rate after decay being applied.
minLearningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines minimal learning rate value for training
minLearningRate - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
minLearningRate(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies bottom threshold for learning rate decay
minLength(int) - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
minMaxColumns(DataRowsFacade, List<String>) - Static method in class org.datavec.spark.transform.Normalization
Returns the min and max of the given columns
minMaxColumns(DataRowsFacade, String...) - Static method in class org.datavec.spark.transform.Normalization
Returns the min and max of the given columns.
MinMaxNormalizer - Class in org.datavec.api.transform.transform.doubletransform
Normalizer to map (min to max) -> (newMin-to newMax) linearly.
MinMaxNormalizer(String, double, double) - Constructor for class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
MinMaxNormalizer(String, double, double, double, double) - Constructor for class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
MinMaxNormConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the minimum AND maximum L2 norm of the incoming weights for each unit to be between the specified values.
MinMaxNormConstraint(double, double, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
Apply to weights but not biases by default
MinMaxNormConstraint(double, double, double, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
Apply to weights but not biases by default
MinMaxNormConstraint(double, double, double, Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
 
minMaxScaleAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to all inputs, except the ones individually configured
minMaxScaleAllInputs(double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to all inputs, except the ones individually configured
minMaxScaleAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to all outputs, except the ones individually configured
minMaxScaleAllOutputs(double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to all outputs, except the ones individually configured
minMaxScaleInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to a specific input, overriding the global input strategy if any
minMaxScaleInput(int, double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to a specific input, overriding the global input strategy if any
minMaxScaleOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to a specific output, overriding the global output strategy if any
minMaxScaleOutput(int, double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
Apply min-max scaling to a specific output, overriding the global output strategy if any
MinMaxSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
Strategy for saving and restoring NormalizerMinMaxScaler instances in single binary files
MinMaxSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
 
MinMaxStats - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
Statistics about the lower bounds and upper bounds of values in data.
MinMaxStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats
 
MinMaxStats.Builder - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
DynamicCustomOpsBuilder class that can incrementally update a running lower and upper bound in order to create statistics for a large set of data
MinMaxStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor
NormalizerStrategy implementation that will normalize and denormalize data arrays to a given range, based on statistics of the upper and lower bounds of the population
MinMaxStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
 
MinMaxStrategy(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
 
minNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
minNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
minNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns min value in this INDArray
minNumBytes(int) - Method in class org.datavec.api.transform.analysis.columns.BytesAnalysis.Builder
 
minPathsPerLabel - Variable in class org.datavec.api.io.filters.BalancedPathFilter
 
minSequenceLength(int) - Method in class org.datavec.api.transform.schema.SequenceSchema.Builder
 
minSize - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration
This variable specifies minimal workspace size
minThreshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
minThreshold - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
minThreshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
minThreshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
minUpdatesThreshold(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Once update with given threshold become too sparse, threshold will be decreased by thresholdStep, but not below minimum threshold.
minValue() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValue(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
minWordFrequency() - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
minWordFrequency() - Method in interface org.datavec.nlp.metadata.VocabCache
The min word frequency needed to be included in the vocab (default 5)
minWordFrequency - Variable in class org.datavec.nlp.vectorizer.TextVectorizer
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
minWordFrequency - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
minWordFrequency(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets minimum word frequency during vocabulary mastering.
minWordFrequency(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
minWordFrequency(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines minimal word frequency in training corpus.
minWordFrequency - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
minWordFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines minimal element frequency for elements found in the training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines minimal word frequency in training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
minWordFrequency - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies minimum word frequency threshold.
minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
MirroringPolicy - Enum in org.nd4j.linalg.api.memory.enums
 
MirrorPad - Class in org.nd4j.linalg.api.ops.impl.transforms
 
MirrorPad() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MirrorPad
 
missingOnnxOps() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
Returns the missing onnx ops
missingOps() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
Returns the missing ops for c++ vs java.
missingTensorflowOps() - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
Returns the missing tensorflow ops
MixtureDensityComponents() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.MixtureDensityComponents
 
mkOrderingOps(DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
MLLibUtil - Class in org.deeplearning4j.spark.util
Dl4j <----> MLLib
mln - Variable in class org.deeplearning4j.rl4j.network.dqn.DQN
 
mmap - Variable in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspace
 
mmapFile(PointerPointer, String, long) - Method in class org.nd4j.nativeblas.NativeOps
 
mmapFile(PointerPointer, String, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
mmapFile(PointerPointer, BytePointer, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
mmapFile(PointerPointer, String, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
mmapFile(PointerPointer, BytePointer, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
mmul(SDVariable, SDVariable, MMulTranspose) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mmul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mmul(SDVariable, SDVariable, MMulTranspose) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiplication: out = mmul(x,y)
Supports specifying a MMulTranspose argument to perform operation such as mmul(a^T, b), etc.
mmul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiplication: out = mmul(x,y)
mmul(String, SDVariable, SDVariable, MMulTranspose) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiplication: out = mmul(x,y)
Supports specifying a MMulTranspose argument to perform operation such as mmul(a^T, b), etc.
mmul(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiplication: out = mmul(x,y)
mmul(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mmul(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform a copy matrix multiplication
mmul(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform a copy matrix multiplication
mmul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform a copy matrix multiplication
mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform an copy matrix multiplication
mmul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mmul(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
mmul(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Perform an copy matrix multiplication
mmul(INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
mmul(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform a copy matrix multiplication
mmul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform an copy matrix multiplication
mmul(INDArray, INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform an copy matrix multiplication
Mmul - Class in org.nd4j.linalg.api.ops.impl.accum
Matrix multiplication/dot product
Mmul(SameDiff, SDVariable, SDVariable, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
Mmul(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
Mmul(INDArray, INDArray, INDArray, MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
Mmul() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
mmul(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
mmul(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
Perform an copy matrix multiplication
mmul(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
mmul(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
Perform an copy matrix multiplication
mmuli(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform an copy matrix multiplication
mmuli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform an copy matrix multiplication
mmuli(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform an in place matrix multiplication
mmuli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Perform an copy matrix multiplication
mmuli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mmuli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mmuli(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
mmuli(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
mmuli(INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
mmuli(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform an inplace matrix multiplication
mmuli(INDArray, INDArray, MMulTranspose) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
mmuli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform an inplace matrix multiplication
mmuli(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
mmuli(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
mmuli(INDArray, MMulTranspose) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
mmuli(INDArray, INDArray, MMulTranspose) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
MMulTranspose - Class in org.nd4j.linalg.api.blas.params
 
MMulTranspose(boolean, boolean, boolean, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.MMulTranspose
 
mMulTranspose - Variable in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
MnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers
Data fetcher for the MNIST dataset
MnistDataFetcher(boolean) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
Constructor telling whether to binarize the dataset or not
MnistDataFetcher(boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
MnistDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
MnistDataProvider - Class in org.deeplearning4j.arbiter.data
MnistDataProvider - a DataProvider for the MNIST data set, with configurable number of epochs, batch size and RNG seed
MnistDataProvider(int, int) - Constructor for class org.deeplearning4j.arbiter.data.MnistDataProvider
 
MnistDataProvider(int, int, int) - Constructor for class org.deeplearning4j.arbiter.data.MnistDataProvider
 
MnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Mnist data applyTransformToDestination iterator.
MnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
 
MnistDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
Get the specified number of examples for the MNIST training data set.
MnistDataSetIterator(int, boolean, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
Constructor to get the full MNIST data set (either test or train sets) without binarization (i.e., just normalization into range of 0 to 1), with shuffling based on a random seed.
MnistDataSetIterator(int, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
MnistDbFile - Class in org.datavec.image.mnist
MNIST database file containing entries that can represent image or label data.
MnistDbFile(String, String) - Constructor for class org.datavec.image.mnist.MnistDbFile
Creates new instance and reads the header information.
MnistDbFile - Class in org.deeplearning4j.datasets.mnist
MNIST database file containing entries that can represent image or label data.
MnistDbFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistDbFile
Creates new instance and reads the header information.
MnistFetcher - Class in org.datavec.image.mnist
 
MnistFetcher() - Constructor for class org.datavec.image.mnist.MnistFetcher
 
MnistFetcher - Class in org.deeplearning4j.base
 
MnistFetcher() - Constructor for class org.deeplearning4j.base.MnistFetcher
 
MnistImageFile - Class in org.datavec.image.mnist
MNIST database image file.
MnistImageFile(String, String) - Constructor for class org.datavec.image.mnist.MnistImageFile
Creates new MNIST database image file ready for reading.
MnistImageFile - Class in org.deeplearning4j.datasets.mnist
MNIST database image file.
MnistImageFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistImageFile
Creates new MNIST database image file ready for reading.
MnistLabelFile - Class in org.datavec.image.mnist
MNIST database label file.
MnistLabelFile(String, String) - Constructor for class org.datavec.image.mnist.MnistLabelFile
Creates new MNIST database label file ready for reading.
MnistLabelFile - Class in org.deeplearning4j.datasets.mnist
MNIST database label file.
MnistLabelFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistLabelFile
Creates new MNIST database label file ready for reading.
MnistManager - Class in org.datavec.image.mnist
Utility class for working with the MNIST database.
MnistManager(String, String) - Constructor for class org.datavec.image.mnist.MnistManager
Constructs an instance managing the two given data files.
MnistManager - Class in org.deeplearning4j.datasets.mnist
Utility class for working with the MNIST database.
MnistManager(String, String, boolean) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
Constructs an instance managing the two given data files.
MnistManager(String, String, int) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
 
MnistManager(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
 
mod(int[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
mode(TokenizerBase.Mode) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Sets the tokenization mode
mode - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
mode - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
mode(Bidirectional.Mode) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
mode - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
 
mode - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
Mode - Enum in vizdoom
 
Model - Class in org.ansj.app.crf
 
Model() - Constructor for class org.ansj.app.crf.Model
 
model - Variable in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
Model - Interface in org.deeplearning4j.nn.api
A Model is meant for predicting something from data.
model - Variable in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
model(Model) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
model - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
model - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
MODEL_DIR - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
MODEL_SAVE_FREQ - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
MODEL_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
 
MODEL_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
 
modelBuilder - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
modelBuilder() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
modelConfigClassName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJson(String) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
modelConfigJson() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJson(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
ModelEvaluator - Interface in org.deeplearning4j.arbiter.optimize.api.evaluation
ModelEvaluator: Used to conduct additional evaluation.
modelExporter - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
ModelGuesser - Class in org.deeplearning4j.util
Guess a model from the given path
ModelGuesser() - Constructor for class org.deeplearning4j.util.ModelGuesser
 
ModelGuesserException - Exception in org.deeplearning4j.util
 
ModelGuesserException(String) - Constructor for exception org.deeplearning4j.util.ModelGuesserException
 
ModelGuesserException(String, Throwable) - Constructor for exception org.deeplearning4j.util.ModelGuesserException
 
ModelGuesserException(Throwable) - Constructor for exception org.deeplearning4j.util.ModelGuesserException
 
modelHdf5Filename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set full model HDF5 (architecture, weights and training configuration) by providing the HDF5 filename.
modelIdx(Integer) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
modelInfo() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
modelInfo(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
ModelInfoPersistable - Class in org.deeplearning4j.arbiter.ui.data
A Persistable implemention for model results - i.e., results for each model
ModelInfoPersistable(String, String, long) - Constructor for class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable
 
ModelInfoPersistable() - Constructor for class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable
 
ModelInfoPersistable.Builder - Class in org.deeplearning4j.arbiter.ui.data
 
modelJson - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelJson(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set model architecture from model JSON string.
modelJsonFilename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set model architecture from file name pointing to model JSON string.
modelJsonInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set model architecture from input stream of model JSON.
ModelMetaData - Class in org.deeplearning4j.zoo
Deprecated.
As of May 10, 2018. Will be removed in v1.1. Getters are now available on the inputShape from the ZooModel implementation.
ModelMetaData() - Constructor for class org.deeplearning4j.zoo.ModelMetaData
Deprecated.
 
modelName() - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
modelName() - Method in class org.deeplearning4j.zoo.ZooModel
 
modelNumLayers() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayers(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumLayersId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumLayersMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumLayersNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParams() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParams(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParamsId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParamsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParamsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelParamNames() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelParamNames() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNames(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
ModelParamNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
ModelParamNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelParamNamesLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelSaver(ResultSaver) - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
 
modelSaver(EarlyStoppingModelSaver<T>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
How should models be saved? (Default: in memory)
ModelSavingCallback - Class in org.deeplearning4j.optimize.listeners.callbacks
This callback will save model after each EvaluativeListener invocation.
ModelSavingCallback(String) - Constructor for class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
This constructor will create ModelSavingCallback instance that will save models in current folder PLEASE NOTE: Make sure you have write access to the current folder
ModelSavingCallback(File, String) - Constructor for class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
This constructor will create ModelSavingCallback instance that will save models in specified folder PLEASE NOTE: Make sure you have write access to the target folder
ModelSerializer - Class in org.deeplearning4j.util
Utility class suited to save/restore neural net models
modelType() - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
modelType() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
modelType() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
modelType() - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
modelType() - Method in class org.deeplearning4j.zoo.model.LeNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.NASNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
modelType() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
modelType() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
modelType() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
modelType() - Method in class org.deeplearning4j.zoo.model.UNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.VGG16
 
modelType() - Method in class org.deeplearning4j.zoo.model.VGG19
 
modelType() - Method in class org.deeplearning4j.zoo.model.Xception
 
modelType() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
ModelUtils<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.reader
Instances implementing this interface should be responsible for utility access to SequenceVectors model
modelUtils - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelUtils(ModelUtils<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelUtils - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
modelUtils(ModelUtils<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
ModelUtils implementation, that will be used to access model.
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelYaml - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelYaml(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set model architecture from model YAML string.
modelYamlFilename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set model architecture from file name pointing to model YAML string.
modelYamlInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set model architecture from input stream of model YAML.
module() - Static method in class org.deeplearning4j.ui.providers.ObjectMapperProvider
 
Module - Interface in org.nd4j.linalg.api.ops
A Module is a CustomOp with varying input arguments and automatically calculated outputs defined at a higher level than c++.
moments(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
moments(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
moments(String[], SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Calculate the mean and (population) variance for the input variable, for the specified axis
Moments - Class in org.nd4j.linalg.api.ops.impl.accum
 
Moments(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Moments
 
Moments(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Moments
 
Moments(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Moments
 
momentum - Variable in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
momentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
momentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
momentum - Variable in class org.deeplearning4j.plot.Tsne
 
momentumSchedule - Variable in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
MONITOR_CLOSE - Static variable in class org.deeplearning4j.gym.Client
 
MONITOR_FREQ - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
MONITOR_START - Static variable in class org.deeplearning4j.gym.Client
 
monitorClose() - Method in class org.deeplearning4j.gym.Client
Flush all monitor data to disk
monitorStart(String, boolean, boolean) - Method in class org.deeplearning4j.gym.Client
Start monitoring.
moveToConstant(DataBuffer) - Method in interface org.nd4j.jita.allocator.Allocator
 
moveToConstant(DataBuffer) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
moveToConstantSpace(DataBuffer) - Method in class org.nd4j.jita.constant.CudaConstantHandler
 
moveToConstantSpace(DataBuffer) - Method in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
This method moves specified dataBuffer to CUDA constant memory space.
moveToConstantSpace(DataBuffer) - Method in class org.nd4j.linalg.cache.BasicConstantHandler
 
moveToConstantSpace(DataBuffer) - Method in interface org.nd4j.linalg.cache.ConstantHandler
If specific hardware supports dedicated constant memory, this method forces DataBuffer passed in to be moved to that constant memory.
movingAverage(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Calculate a moving average given the length
MovingWindowBaseDataSetIterator - Class in org.deeplearning4j.datasets.iterator
DataSetIterator for moving window (rotating matrices)
MovingWindowBaseDataSetIterator(int, int, DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.MovingWindowBaseDataSetIterator
 
MovingWindowDataSetFetcher - Class in org.deeplearning4j.datasets.iterator.impl
Moving window data fetcher.
MovingWindowDataSetFetcher(DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MovingWindowDataSetFetcher
 
MovingWindowMatrix - Class in org.deeplearning4j.util
Moving window on a matrix (usually used for images) Given a: This is a list of flattened arrays: 1 1 1 1 1 1 2 2 2 2 2 2 ----> 1 1 2 2 3 3 3 3 3 3 4 4 4 4 4 4 3 3 4 4
MovingWindowMatrix(INDArray, int, int, boolean) - Constructor for class org.deeplearning4j.util.MovingWindowMatrix
 
MovingWindowMatrix(INDArray, int, int) - Constructor for class org.deeplearning4j.util.MovingWindowMatrix
Same as calling new MovingWindowMatrix(toSlice,windowRowSize,windowColumnSize,false)
mpow(INDArray, int, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Raises a square matrix to a power n, which can be positive, negative, or zero.
ms2DoomTics(double, int) - Method in class vizdoom.DoomGame
 
mse(String, SDVariable, SDVariable, SDVariable, LossFunctions.Reduction, int...) - Static method in class org.nd4j.autodiff.loss.LossFunctions
Mean squared error: L = mean( (predicted - label)^2)
mt - Variable in class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
mul(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mul(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
mul(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mul(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mul(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mul(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
mul(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
mul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
copy (element wise) multiplication of two matrices
mul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
copy (element wise) multiplication of two matrices
mul(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
mul(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mul(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mul(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Scalar multiplication (copy)
mul(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
mul(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
copy (element wise) multiplication of two NDArrays
mul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
copy (element wise) multiplication of two NDArrays
mul(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast element-wise multiply op.
mulBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
MulBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp
Division backprop operation.
MulBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.MulBpOp
 
MulBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.MulBpOp
 
mulColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
mulColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mulColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Multiplication of a column vector (copy)
muli(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
muli(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
muli(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
muli(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
muli(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
muli(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
muli(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
muli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
in place (element wise) multiplication of two matrices
muli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
in place (element wise) multiplication of two matrices
muli(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
muli(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
muli(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
muli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
muli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
muli(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place scalar multiplication
muli(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place multiplication of this ndarray
muli(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
in place (element wise) multiplication of two NDArrays
muli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
in place (element wise) multiplication of two NDArrays
muliColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
muliColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
muliColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place multiplication of a column vector
muliColumnVector(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
multiply all columns of this array on given column vector, this array becomes affected (in-place operation) column - column vector to multiply on
muliColumnVector(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
multiply all columns of this array on given column vector, this array becomes affected (in-place operation) column - column vector to multiply on
muliColumnVector(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
multiply all columns of this array on given column vector, this array becomes affected (in-place operation) column - column vector to multiply on
muliColumnVector(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
multiply all columns of this array on given column vector, this array becomes affected (in-place operation) column - column vector to multiply on
muliColumnVector(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
multiply all columns of this array on given column vector, this array becomes affected (in-place operation) column - column vector to multiply on
muliColumnVector(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
multiply all columns of this array on given column vector, this array becomes affected (in-place operation) column - column vector to multiply on
muliRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
muliRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
muliRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place multiplication of a row vector
MulOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
Multiplication operation
MulOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
 
MulOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
 
MulOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
 
mulRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
mulRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
mulRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Multiplication of a row vector (copy)
mulRowVector(Nd4jCpu.DoubleNDArray, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
multiply all rows of this array on given row vector, store result in target row - row vector to multiply on target - where to store result
mulRowVector(Nd4jCpu.FloatNDArray, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
multiply all rows of this array on given row vector, store result in target row - row vector to multiply on target - where to store result
mulRowVector(Nd4jCpu.HalfNDArray, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
multiply all rows of this array on given row vector, store result in target row - row vector to multiply on target - where to store result
mulRowVector(Nd4jCuda.DoubleNDArray, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
multiply all rows of this array on given row vector, store result in target row - row vector to multiply on target - where to store result
mulRowVector(Nd4jCuda.FloatNDArray, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
multiply all rows of this array on given row vector, store result in target row - row vector to multiply on target - where to store result
mulRowVector(Nd4jCuda.HalfNDArray, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
multiply all rows of this array on given row vector, store result in target row - row vector to multiply on target - where to store result
mult(AbstractNumber) - Method in interface org.nd4j.linalg.util.AbstractNumber
 
MULTI_LAYER - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
MULTI_LAYER_NETWORK - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliRunner
 
MultiBoolean - Class in org.deeplearning4j.datasets.iterator.parallel
This is utility class, that allows easy handling of multiple joint boolean states.
MultiBoolean(int) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
 
MultiBoolean(int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
 
MultiBoolean(int, boolean, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
 
multicastChannelUri - Variable in class org.nd4j.parameterserver.distributed.transport.MulticastTransport
 
MulticastTransport - Class in org.nd4j.parameterserver.distributed.transport
Transport implementation based on Aeron UDP multicast PLEASE NOTE: This transport will NOT work on AWS or Azure out of box, due to Amazon/Microsoft restrictions within their networks.
MulticastTransport() - Constructor for class org.nd4j.parameterserver.distributed.transport.MulticastTransport
 
MultiDataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor
An interface for multi dataset normalizers.
MultiDataSet - Interface in org.nd4j.linalg.dataset.api
MultiDataSet is an interface for representing complex data sets, that have (potentially) multiple inputs and outputs For example, some complex neural network architectures may have multiple independent inputs, and multiple independent outputs.
MultiDataSet - Class in org.nd4j.linalg.dataset
Implementation of MultiDataSet
MultiDataSet() - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
Create a new (empty) MultiDataSet object (all fields are null)
MultiDataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
MultiDataSet constructor with single features/labels input, no mask arrays
MultiDataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
MultiDataSet constructor with single features/labels input, single mask arrays
MultiDataSet(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
MultiDataSet constructor with no mask arrays
MultiDataSet(INDArray[], INDArray[], INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
 
MultiDataSetDeserializationCallback - Class in org.deeplearning4j.spark.parameterserver.callbacks
 
MultiDataSetDeserializationCallback() - Constructor for class org.deeplearning4j.spark.parameterserver.callbacks.MultiDataSetDeserializationCallback
 
MultiDataSetExportFunction - Class in org.deeplearning4j.spark.data
A function (used in forEachPartition) to save MultiDataSet objects to disk/HDFS.
MultiDataSetExportFunction(URI) - Constructor for class org.deeplearning4j.spark.data.MultiDataSetExportFunction
 
MultiDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator
An iterator for MultiDataSet objects.
MultiDataSetIteratorAdapter - Class in org.deeplearning4j.datasets.iterator.impl
Iterator that adapts a DataSetIterator to a MultiDataSetIterator
MultiDataSetIteratorAdapter(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
MultiDataSetIteratorFactory - Interface in org.nd4j.linalg.dataset.api.iterator
MultiDataSetIteratorSplitter - Class in org.deeplearning4j.datasets.iterator
This iterator virtually splits given MultiDataSetIterator into Train and Test parts.
MultiDataSetIteratorSplitter(MultiDataSetIterator, long, double) - Constructor for class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
MultiDataSetLoader - Interface in org.deeplearning4j.api.loader
An interface for loading MultiDataSets from a Source
MultiDataSetLoaderIterator - Class in org.deeplearning4j.datasets.iterator.loader
A MultiDataSetLoader that loads MultiDataSets from a path, using a Loader<MultiDataSet> such as SerializedMultiDataSetLoader.
MultiDataSetLoaderIterator(Iterator<String>, Loader<MultiDataSet>, SourceFactory) - Constructor for class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
NOTE: When using this constructor (with Iterator<String>) the MultiDataSetIterator cannot be reset.
MultiDataSetLoaderIterator(Collection<String>, Loader<MultiDataSet>, SourceFactory) - Constructor for class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
Iterate of the specified collection of strings without randomization
MultiDataSetLoaderIterator(Collection<String>, Random, Loader<MultiDataSet>, SourceFactory) - Constructor for class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
Iterate of the specified collection of strings with optional randomization
MultiDataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api
PreProcessor interface for MultiDataSets
MultiDataSetProvider - Interface in org.deeplearning4j.spark.data
A provider for an MultiDataSet rdd.
MultiDataSetProviderFactory - Interface in org.deeplearning4j.parallelism.main
MultiDataSetWrapperIterator - Class in org.deeplearning4j.datasets.iterator
This class is simple wrapper that takes single-input MultiDataSets and converts them to DataSets on the fly PLEASE NOTE: This only works if number of features/labels/masks is 1
MultiDataSetWrapperIterator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
MultiDimensionalMap<K,T,V> - Class in org.nd4j.linalg.collection
Multiple key map
MultiDimensionalMap(Map<Pair<K, T>, V>) - Constructor for class org.nd4j.linalg.collection.MultiDimensionalMap
 
MultiDimensionalMap() - Constructor for class org.nd4j.linalg.collection.MultiDimensionalMap
 
MultiDimensionalMap.Entry<K,T,V> - Class in org.nd4j.linalg.collection
 
MultiDimensionalSet<K,V> - Class in org.nd4j.linalg.collection
Created by agibsonccc on 4/29/14.
MultiDimensionalSet(Set<Pair<K, V>>) - Constructor for class org.nd4j.linalg.collection.MultiDimensionalSet
 
MultiHybridSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
Strategy for saving and restoring MultiNormalizerHybrid instances in single binary files
MultiHybridSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
 
MultiImageTransform - Class in org.datavec.image.transform
Transforms images deterministically or randomly with the help of an array of ImageTransform
MultiImageTransform(ImageTransform...) - Constructor for class org.datavec.image.transform.MultiImageTransform
 
MultiImageTransform(Random, ImageTransform...) - Constructor for class org.datavec.image.transform.MultiImageTransform
 
MULTILABEL - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
multilabel - Variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
MULTILABEL - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
multilabel - Variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
MultiLayerConfiguration - Class in org.deeplearning4j.nn.conf
Configuration for a multi layer network
MultiLayerConfiguration() - Constructor for class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
MultiLayerConfiguration.Builder - Class in org.deeplearning4j.nn.conf
 
MultiLayerConfigurationDeserializer - Class in org.deeplearning4j.nn.conf.serde
 
MultiLayerConfigurationDeserializer(JsonDeserializer<?>) - Constructor for class org.deeplearning4j.nn.conf.serde.MultiLayerConfigurationDeserializer
 
MultiLayerNetwork - Class in org.deeplearning4j.nn.multilayer
MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer.
MultiLayerNetwork(MultiLayerConfiguration) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
MultiLayerNetwork(String, INDArray) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the network based on the configuration
MultiLayerNetwork(MultiLayerConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the network based on the configuraiton
MultiLayerNetworkTaskCreator - Class in org.deeplearning4j.arbiter.task
Task creator for MultiLayerNetworks
MultiLayerNetworkTaskCreator(ModelEvaluator) - Constructor for class org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator
 
MultiLayerSpace - Class in org.deeplearning4j.arbiter
 
MultiLayerSpace(MultiLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.MultiLayerSpace
 
MultiLayerSpace() - Constructor for class org.deeplearning4j.arbiter.MultiLayerSpace
 
MultiLayerSpace.Builder - Class in org.deeplearning4j.arbiter
 
MultiLayerUpdater - Class in org.deeplearning4j.nn.updater
MultiLayerUpdater: Gradient updater for MultiLayerNetworks.
MultiLayerUpdater(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
MultiLayerUpdater(MultiLayerNetwork, INDArray) - Constructor for class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
MultiMinMaxSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
Strategy for saving and restoring MultiNormalizerMinMaxScaler instances in single binary files
MultiMinMaxSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
 
MultiNormalizerHybrid - Class in org.nd4j.linalg.dataset.api.preprocessor
Pre processor for MultiDataSet that can be configured to use different normalization strategies for different inputs and outputs, or none at all.
MultiNormalizerHybrid() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
 
MultiNormalizerMinMaxScaler - Class in org.nd4j.linalg.dataset.api.preprocessor
Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to lie between a minimum and maximum value (by default between 0 and 1)
MultiNormalizerMinMaxScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
 
MultiNormalizerMinMaxScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
Preprocessor can take a range as minRange and maxRange
MultiNormalizerStandardize - Class in org.nd4j.linalg.dataset.api.preprocessor
Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to have 0 mean and a standard deviation of 1
MultiNormalizerStandardize() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
 
multiPageMode - Variable in class org.datavec.image.loader.BaseImageLoader
 
multiPartUpload(File, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
Multi part upload for big files
MultiPdsIterator - Class in org.deeplearning4j.spark.parameterserver.iterators
 
MultiPdsIterator(Iterator<PortableDataStream>, PortableDataStreamMDSCallback) - Constructor for class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
MultipleEpochsIterator - Class in org.deeplearning4j.datasets.iterator
Deprecated.
Does not properly trigger the incrementing of epoch counts in MultiLayerNetwork/ComputationGraph. Use MultiLayerNetwork/ComputationGraph.fit(DataSetIterator, int numEpochs) instead
MultipleEpochsIterator(int, DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(int, DataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(DataSetIterator, int, long) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(DataSetIterator, long) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(int, DataSet) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator - Class in org.nd4j.linalg.dataset.api.iterator
Deprecated.
MultipleEpochsIterator(int, DataSetIterator) - Constructor for class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
 
multipleOpColmumns(List<ReduceOp>, String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
 
multipleTensorsAlongDimension(IntPointer, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
multipleTensorsAlongDimension(IntBuffer, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
multipleTensorsAlongDimension(int[], int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
multipleTensorsAlongDimension(IntPointer, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
multipleTensorsAlongDimension(IntBuffer, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
multipleTensorsAlongDimension(int[], int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
multipleTensorsAlongDimension(IntPointer, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
multipleTensorsAlongDimension(IntBuffer, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
multipleTensorsAlongDimension(int[], int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
multipleTensorsAlongDimension(IntPointer, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
multipleTensorsAlongDimension(IntBuffer, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
multipleTensorsAlongDimension(int[], int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
multipleTensorsAlongDimension(IntPointer, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
multipleTensorsAlongDimension(IntBuffer, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
multipleTensorsAlongDimension(int[], int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
multipleTensorsAlongDimension(IntPointer, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
multipleTensorsAlongDimension(IntBuffer, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
multipleTensorsAlongDimension(int[], int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
MULTIPLICATOR - Static variable in class org.nd4j.graph.OpClass
 
multiply(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
pairwise multiplication operator: array * other other - input array to multiply on
multiply(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
multiplication operator: array * scalar scalar - input scalar to multiply on
multiply(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
pairwise multiplication operator: array * other other - input array to multiply on
multiply(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
multiplication operator: array * scalar scalar - input scalar to multiply on
multiply(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
pairwise multiplication operator: array * other other - input array to multiply on
multiply(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
multiplication operator: array * scalar scalar - input scalar to multiply on
multiply(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
pairwise multiplication operator: array * other other - input array to multiply on
multiply(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
multiplication operator: array * scalar scalar - input scalar to multiply on
multiply(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
pairwise multiplication operator: array * other other - input array to multiply on
multiply(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
multiplication operator: array * scalar scalar - input scalar to multiply on
multiply(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
pairwise multiplication operator: array * other other - input array to multiply on
multiply(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
multiplication operator: array * scalar scalar - input scalar to multiply on
multiplyBy(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Multiply the features by a scalar
multiplyBy(double) - Method in class org.nd4j.linalg.dataset.DataSet
 
multiplyBy(int[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
Multiply the given array by the given scalar
multiplyPut(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
pairwise multiplication unary operator array *= other other - input array to multiply on
multiplyPut(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
multiplication unary operator array *= scalar scalar - input scalar to multiply on
multiplyPut(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
pairwise multiplication unary operator array *= other other - input array to multiply on
multiplyPut(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
multiplication unary operator array *= scalar scalar - input scalar to multiply on
multiplyPut(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
pairwise multiplication unary operator array *= other other - input array to multiply on
multiplyPut(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
multiplication unary operator array *= scalar scalar - input scalar to multiply on
multiplyPut(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
pairwise multiplication unary operator array *= other other - input array to multiply on
multiplyPut(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
multiplication unary operator array *= scalar scalar - input scalar to multiply on
multiplyPut(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
pairwise multiplication unary operator array *= other other - input array to multiply on
multiplyPut(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
multiplication unary operator array *= scalar scalar - input scalar to multiply on
multiplyPut(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
pairwise multiplication unary operator array *= other other - input array to multiply on
multiplyPut(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
multiplication unary operator array *= scalar scalar - input scalar to multiply on
MultiStandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
Strategy for saving and restoring MultiNormalizerStandardize instances in single binary files
MultiStandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
 
MultiThreadUtils - Class in org.deeplearning4j.clustering.util
 
MultiValueMap<K,V> - Interface in org.nd4j.linalg.util
 
munmapFile(PointerPointer, LongPointer, long) - Method in class org.nd4j.nativeblas.NativeOps
 
munmapFile(PointerPointer, LongPointer, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
munmapFile(PointerPointer, LongBuffer, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
munmapFile(PointerPointer, long[], long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
munmapFile(PointerPointer, LongPointer, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
munmapFile(PointerPointer, LongBuffer, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
munmapFile(PointerPointer, long[], long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
MutipleEpochsSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
This SentenceIterator implemenation wraps existing sentence iterator, and resets it numEpochs times This class is usable for tests purposes mostly.
MutipleEpochsSentenceIterator(SentenceIterator, int) - Constructor for class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
MysqlLoader - Class in org.nd4j.jdbc.mysql
Mysql loader for ndarrays
MysqlLoader(DataSource, String, String, String) - Constructor for class org.nd4j.jdbc.mysql.MysqlLoader
 
MyStaticValue - Class in org.ansj.util
这个类储存一些公用变量.
MyStaticValue() - Constructor for class org.ansj.util.MyStaticValue
 
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