Interface | Description |
---|---|
ScoreCalculator<T extends Model> |
ScoreCalculator interface is used to calculate a score for a neural network.
|
Class | Description |
---|---|
AutoencoderScoreCalculator |
Score function for a MultiLayerNetwork or ComputationGraph with a single
AutoEncoder layer. |
ClassificationScoreCalculator |
Score function for evaluating a MultiLayerNetwork according to an evaluation metric (
Evaluation.Metric such
as accuracy, F1 score, etc. |
DataSetLossCalculator |
Given a DataSetIterator: calculate the total loss for the model on that data set.
|
DataSetLossCalculatorCG | Deprecated
Use
DataSetLossCalculator instead for both MultiLayerNetwork and ComputationGraph |
RegressionScoreCalculator |
Calculate the regression score of the network (MultiLayerNetwork or ComputationGraph) on a test set, using the
specified regression metric -
RegressionEvaluation.Metric |
ROCScoreCalculator |
Calculate ROC AUC (area under ROC curve) or AUCPR (area under precision recall curve) for a MultiLayerNetwork or
ComputationGraph
|
VAEReconErrorScoreCalculator |
Score function for variational autoencoder reconstruction error for a MultiLayerNetwork or ComputationGraph.
VariationalAutoencoder layer must be first layer in the network |
VAEReconProbScoreCalculator |
Score calculator for variational autoencoder reconstruction probability or reconstruction log probability for a
MultiLayerNetwork or ComputationGraph.
|
Enum | Description |
---|---|
ROCScoreCalculator.Metric | |
ROCScoreCalculator.ROCType |
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