Uses of Class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration (deeplearning4j 1.0.0-beta6 API)

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Packages that use EarlyStoppingConfiguration
Package	Description
org.deeplearning4j.arbiter
org.deeplearning4j.earlystopping
org.deeplearning4j.earlystopping.listener
org.deeplearning4j.earlystopping.trainer
org.deeplearning4j.parallelism
org.deeplearning4j.spark.earlystopping

Uses of EarlyStoppingConfiguration in org.deeplearning4j.arbiter

Fields in org.deeplearning4j.arbiter declared as EarlyStoppingConfiguration
Modifier and Type	Field and Description
`protected EarlyStoppingConfiguration<MultiLayerNetwork>`	MultiLayerSpace.`earlyStoppingConfiguration`
`protected EarlyStoppingConfiguration<MultiLayerNetwork>`	MultiLayerSpace.Builder.`earlyStoppingConfiguration`
`protected EarlyStoppingConfiguration<ComputationGraph>`	ComputationGraphSpace.`earlyStoppingConfiguration`
`protected EarlyStoppingConfiguration<ComputationGraph>`	ComputationGraphSpace.Builder.`earlyStoppingConfiguration`

Methods in org.deeplearning4j.arbiter with parameters of type EarlyStoppingConfiguration
Modifier and Type	Method and Description
`ComputationGraphSpace.Builder`	ComputationGraphSpace.Builder.`earlyStoppingConfiguration(EarlyStoppingConfiguration<ComputationGraph> earlyStoppingConfiguration)` Early stopping configuration (optional).
`MultiLayerSpace.Builder`	MultiLayerSpace.Builder.`earlyStoppingConfiguration(EarlyStoppingConfiguration<MultiLayerNetwork> earlyStoppingConfiguration)` Early stopping configuration (optional).

Uses of EarlyStoppingConfiguration in org.deeplearning4j.earlystopping

Methods in org.deeplearning4j.earlystopping that return EarlyStoppingConfiguration
Modifier and Type	Method and Description
`EarlyStoppingConfiguration<T>`	EarlyStoppingConfiguration.Builder.`build()` Create the early stopping configuration

Uses of EarlyStoppingConfiguration in org.deeplearning4j.earlystopping.listener

Methods in org.deeplearning4j.earlystopping.listener with parameters of type EarlyStoppingConfiguration
Modifier and Type	Method and Description
`void`	EarlyStoppingListener.`onEpoch(int epochNum, double score, EarlyStoppingConfiguration<T> esConfig, T net)` Method that is called at the end of each epoch completed during early stopping training
`void`	EarlyStoppingListener.`onStart(EarlyStoppingConfiguration<T> esConfig, T net)` Method to be called when early stopping training is first started

Uses of EarlyStoppingConfiguration in org.deeplearning4j.earlystopping.trainer

Fields in org.deeplearning4j.earlystopping.trainer declared as EarlyStoppingConfiguration
Modifier and Type	Field and Description
`protected EarlyStoppingConfiguration<T>`	BaseEarlyStoppingTrainer.`esConfig`

Constructors in org.deeplearning4j.earlystopping.trainer with parameters of type EarlyStoppingConfiguration
Constructor and Description
`BaseEarlyStoppingTrainer(EarlyStoppingConfiguration<T> earlyStoppingConfiguration, T model, DataSetIterator train, MultiDataSetIterator trainMulti, EarlyStoppingListener<T> listener)`
`EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, DataSetIterator train)`
`EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, DataSetIterator train, EarlyStoppingListener<ComputationGraph> listener)` Constructor for training using a `DataSetIterator`
`EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, MultiDataSetIterator train, EarlyStoppingListener<ComputationGraph> listener)` Constructor for training using a `MultiDataSetIterator`
`EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> earlyStoppingConfiguration, MultiLayerConfiguration configuration, DataSetIterator train)`
`EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, DataSetIterator train)`
`EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, DataSetIterator train, EarlyStoppingListener<MultiLayerNetwork> listener)`

Uses of EarlyStoppingConfiguration in org.deeplearning4j.parallelism

Fields in org.deeplearning4j.parallelism declared as EarlyStoppingConfiguration
Modifier and Type	Field and Description
`protected EarlyStoppingConfiguration<T>`	EarlyStoppingParallelTrainer.`esConfig`

Constructors in org.deeplearning4j.parallelism with parameters of type EarlyStoppingConfiguration
Constructor and Description
`EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T> earlyStoppingConfiguration, T model, DataSetIterator train, MultiDataSetIterator trainMulti, EarlyStoppingListener<T> listener, int workers, int prefetchBuffer, int averagingFrequency)`
`EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T> earlyStoppingConfiguration, T model, DataSetIterator train, MultiDataSetIterator trainMulti, EarlyStoppingListener<T> listener, int workers, int prefetchBuffer, int averagingFrequency, boolean reportScoreAfterAveraging, boolean useLegacyAveraging)`
`EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T> earlyStoppingConfiguration, T model, DataSetIterator train, MultiDataSetIterator trainMulti, int workers, int prefetchBuffer, int averagingFrequency)`

Uses of EarlyStoppingConfiguration in org.deeplearning4j.spark.earlystopping

Constructors in org.deeplearning4j.spark.earlystopping with parameters of type EarlyStoppingConfiguration
Constructor and Description
`BaseSparkEarlyStoppingTrainer(org.apache.spark.api.java.JavaSparkContext sc, EarlyStoppingConfiguration<T> esConfig, T net, org.apache.spark.api.java.JavaRDD<DataSet> train, org.apache.spark.api.java.JavaRDD<MultiDataSet> trainMulti, EarlyStoppingListener<T> listener)`
`SparkEarlyStoppingGraphTrainer(org.apache.spark.api.java.JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, org.apache.spark.api.java.JavaRDD<MultiDataSet> train)`
`SparkEarlyStoppingGraphTrainer(org.apache.spark.api.java.JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, org.apache.spark.api.java.JavaRDD<MultiDataSet> train, EarlyStoppingListener<ComputationGraph> listener)`
`SparkEarlyStoppingGraphTrainer(org.apache.spark.api.java.JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, org.apache.spark.api.java.JavaRDD<MultiDataSet> train, int examplesPerFit, int totalExamples)`
`SparkEarlyStoppingGraphTrainer(org.apache.spark.SparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, org.apache.spark.api.java.JavaRDD<MultiDataSet> train)`
`SparkEarlyStoppingGraphTrainer(org.apache.spark.SparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net, org.apache.spark.api.java.JavaRDD<MultiDataSet> train, int examplesPerFit, int totalExamples)`
`SparkEarlyStoppingTrainer(org.apache.spark.api.java.JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.apache.spark.api.java.JavaRDD<DataSet> train)`
`SparkEarlyStoppingTrainer(org.apache.spark.api.java.JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.apache.spark.api.java.JavaRDD<DataSet> train, EarlyStoppingListener<MultiLayerNetwork> listener)`
`SparkEarlyStoppingTrainer(org.apache.spark.SparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.apache.spark.api.java.JavaRDD<DataSet> train)`
`SparkEarlyStoppingTrainer(org.apache.spark.SparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.apache.spark.api.java.JavaRDD<DataSet> train, EarlyStoppingListener<MultiLayerNetwork> listener)`

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