Uses of Class
org.deeplearning4j.eval.Evaluation

Packages that use Evaluation

Package	Description
org.deeplearning4j.earlystopping.scorecalc
org.deeplearning4j.eval
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.multilayer

Uses of Evaluation in org.deeplearning4j.earlystopping.scorecalc

Methods in org.deeplearning4j.earlystopping.scorecalc that return Evaluation

Modifier and Type	Method and Description
protected Evaluation	ClassificationScoreCalculator.newEval()

Methods in org.deeplearning4j.earlystopping.scorecalc with parameters of type Evaluation

Modifier and Type	Method and Description
protected double	ClassificationScoreCalculator.finalScore(Evaluation e)

Uses of Evaluation in org.deeplearning4j.eval

Methods in org.deeplearning4j.eval that return Evaluation

Modifier and Type	Method and Description
static Evaluation	Evaluation.fromJson(String json)
static Evaluation	Evaluation.fromYaml(String yaml)

Methods in org.deeplearning4j.eval with parameters of type Evaluation

Modifier and Type	Method and Description
void	Evaluation.merge(Evaluation other) Merge the other evaluation object into this one.

Uses of Evaluation in org.deeplearning4j.nn.graph

Methods in org.deeplearning4j.nn.graph that return Evaluation

Modifier and Type	Method and Description
Evaluation	ComputationGraph.evaluate(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator) Evaluate the network (classification performance - single output ComputationGraphs only)
Evaluation	ComputationGraph.evaluate(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator, List<String> labelsList) Evaluate the network on the provided data set (single output ComputationGraphs only).
Evaluation	ComputationGraph.evaluate(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator, List<String> labelsList, int topN) Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
Evaluation	ComputationGraph.evaluate(org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator) Evaluate the network (classification performance - single output ComputationGraphs only)
Evaluation	ComputationGraph.evaluate(org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator, List<String> labelsList) Evaluate the network on the provided data set (single output ComputationGraphs only).
Evaluation	ComputationGraph.evaluate(org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator, List<String> labelsList, int topN) Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.

Uses of Evaluation in org.deeplearning4j.nn.multilayer

Methods in org.deeplearning4j.nn.multilayer that return Evaluation

Modifier and Type	Method and Description
Evaluation	MultiLayerNetwork.evaluate(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator) Evaluate the network (classification performance)
Evaluation	MultiLayerNetwork.evaluate(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator, List<String> labelsList) Evaluate the network on the provided data set.
Evaluation	MultiLayerNetwork.evaluate(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator, List<String> labelsList, int topN) Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.