Uses of Class
org.deeplearning4j.arbiter.scoring.RegressionValue

Packages that use RegressionValue

Package	Description
org.deeplearning4j.arbiter.scoring
org.deeplearning4j.arbiter.scoring.impl
org.deeplearning4j.arbiter.scoring.util

Uses of RegressionValue in org.deeplearning4j.arbiter.scoring

Methods in org.deeplearning4j.arbiter.scoring that return RegressionValue

Modifier and Type	Method and Description
static RegressionValue	RegressionValue.valueOf(String name) Deprecated. Returns the enum constant of this type with the specified name.
static RegressionValue[]	RegressionValue.values() Deprecated. Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deeplearning4j.arbiter.scoring with parameters of type RegressionValue

Modifier and Type	Method and Description
static ScoreFunction	ScoreFunctions.testSetRegression(RegressionValue regressionValue) Calculate a regression value (MSE, MAE etc) on a test set

Uses of RegressionValue in org.deeplearning4j.arbiter.scoring.impl

Constructors in org.deeplearning4j.arbiter.scoring.impl with parameters of type RegressionValue

Constructor and Description
TestSetRegressionScoreFunction(RegressionValue regressionValue) Deprecated.

Uses of RegressionValue in org.deeplearning4j.arbiter.scoring.util

Methods in org.deeplearning4j.arbiter.scoring.util with parameters of type RegressionValue

Modifier and Type	Method and Description
static double	ScoreUtil.getScoreFromRegressionEval(org.deeplearning4j.eval.RegressionEvaluation eval, RegressionValue regressionValue) Deprecated.
static double	ScoreUtil.score(org.deeplearning4j.nn.graph.ComputationGraph model, org.nd4j.linalg.dataset.api.iterator.DataSetIterator testSet, RegressionValue regressionValue) Run a RegressionEvaluation over a DataSetIterator
static double	ScoreUtil.score(org.deeplearning4j.nn.graph.ComputationGraph model, org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator testSet, RegressionValue regressionValue)
static double	ScoreUtil.score(org.deeplearning4j.nn.multilayer.MultiLayerNetwork model, org.nd4j.linalg.dataset.api.iterator.DataSetIterator testSet, RegressionValue regressionValue) Score the given multi layer network