| Package | Description |
|---|---|
| org.deeplearning4j.arbiter.scoring | |
| org.deeplearning4j.arbiter.scoring.impl | |
| org.deeplearning4j.arbiter.scoring.util |
| 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.
|
| Modifier and Type | Method and Description |
|---|---|
static ScoreFunction |
ScoreFunctions.testSetRegression(RegressionValue regressionValue)
Calculate a regression value (MSE, MAE etc) on a test set
|
| Constructor and Description |
|---|
TestSetRegressionScoreFunction(RegressionValue regressionValue)
Deprecated.
|
| Modifier and Type | Method and Description |
|---|---|
static double |
ScoreUtil.getScoreFromRegressionEval(RegressionEvaluation eval,
RegressionValue regressionValue)
Deprecated.
|
static double |
ScoreUtil.score(ComputationGraph model,
DataSetIterator testSet,
RegressionValue regressionValue)
Run a
RegressionEvaluation
over a DataSetIterator |
static double |
ScoreUtil.score(ComputationGraph model,
MultiDataSetIterator testSet,
RegressionValue regressionValue) |
static double |
ScoreUtil.score(MultiLayerNetwork model,
DataSetIterator testSet,
RegressionValue regressionValue)
Score the given multi layer network
|
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