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O

onEndEpoch() - Method in class mklab.JGNN.nn.Loss

Called by ModelTraining instances to notify the loss that an epoch just ended.

onEndEpoch() - Method in class mklab.JGNN.nn.loss.report.VerboseLoss

onEndTraining() - Method in class mklab.JGNN.adhoc.ModelTraining

Performs any cleanup operations at the end of the ModelTraining.train(Model) loop.

onEndTraining() - Method in class mklab.JGNN.adhoc.train.AGFTraining

onEndTraining() - Method in class mklab.JGNN.nn.Loss

Called by ModelTraining instance to notify the loss that a training loop just ended.

onEndTraining() - Method in class mklab.JGNN.nn.loss.report.VerboseLoss

onesMask() - Method in class mklab.JGNN.core.Matrix

Produces a mask that indicates the non-zero elements of the matrix.

onStartEpoch(int) - Method in class mklab.JGNN.adhoc.ModelTraining

Performs necessary training operations at the beginning of each epoch.

onStartEpoch(int) - Method in class mklab.JGNN.adhoc.train.AGFTraining

onStartEpoch(int) - Method in class mklab.JGNN.adhoc.train.SampleClassification

operation(String) - Method in class mklab.JGNN.adhoc.ModelBuilder

Parses one or more operations split by new line characters or ; to add to the execution graph.

operation(String) - Method in class mklab.JGNN.adhoc.parsers.FastBuilder

operation(String) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

optimizer - Variable in class mklab.JGNN.adhoc.ModelTraining

Optimizer - Interface in mklab.JGNN.nn

Provides an interface for training tensors.

out(String) - Method in class mklab.JGNN.adhoc.ModelBuilder

Declares the component with the given name an output of the managed model.

out(String) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

output(Tensor, LSTM.LSTMState) - Method in class mklab.JGNN.nn.operations.LSTM

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All Classes and Interfaces|All Packages