Package | Description |
---|---|
org.deeplearning4j.earlystopping.scorecalc | |
org.deeplearning4j.eval | |
org.deeplearning4j.nn.graph | |
org.deeplearning4j.nn.multilayer |
Modifier and Type | Field and Description |
---|---|
protected RegressionEvaluation |
VAEReconErrorScoreCalculator.evaluation |
protected RegressionEvaluation |
AutoencoderScoreCalculator.evaluation |
Modifier and Type | Method and Description |
---|---|
protected RegressionEvaluation |
RegressionScoreCalculator.newEval() |
Modifier and Type | Method and Description |
---|---|
protected double |
RegressionScoreCalculator.finalScore(RegressionEvaluation eval) |
Modifier and Type | Method and Description |
---|---|
void |
RegressionEvaluation.merge(RegressionEvaluation other) |
Modifier and Type | Method and Description |
---|---|
RegressionEvaluation |
ComputationGraph.evaluateRegression(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator)
Evaluate the (single output layer only) network for regression performance
|
RegressionEvaluation |
ComputationGraph.evaluateRegression(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator,
List<String> columnNames)
Evaluate the (single output layer only) network for regression performance
|
RegressionEvaluation |
ComputationGraph.evaluateRegression(org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator)
Evaluate the (single output layer only) network for regression performance
|
RegressionEvaluation |
ComputationGraph.evaluateRegression(org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator,
List<String> columnNames)
Evaluate the (single output layer only) network for regression performance
|
Modifier and Type | Method and Description |
---|---|
RegressionEvaluation |
MultiLayerNetwork.evaluateRegression(org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator)
Evaluate the network for regression performance
|
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