Index

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L

L1 - Class in mklab.JGNN.nn.activations

Implements a NNOperation that performs a L1 transformation of its one input tensor by row or by column.

L1() - Constructor for class mklab.JGNN.nn.activations.L1

Instantiates an L1 operation that transforms inputs by row.

L1(boolean) - Constructor for class mklab.JGNN.nn.activations.L1

Instantiates an L1 operation that transforms inputs alongside the dimension signified by its argument.

labels - Variable in class graphClassification.TrajectoryData

labels() - Method in class mklab.JGNN.adhoc.Dataset

Retrieves the dataset's sample labels in one-hot encoding.

lastOutput - Variable in class mklab.JGNN.nn.NNOperation.ThreadData

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

Applies an FastBuilder.operation(String) and increases the layer identifier count.

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

Applies an LayeredBuilder.operation(String) and increases the layer identifier count.

LayeredBuilder - Class in mklab.JGNN.adhoc.parsers

Extends the capabilities of the ModelBuilder with the ability to define multilayer (e.g.

LayeredBuilder() - Constructor for class mklab.JGNN.adhoc.parsers.LayeredBuilder

Instantiates a layered builder with input name h0.

LayeredBuilder(String) - Constructor for class mklab.JGNN.adhoc.parsers.LayeredBuilder

Instantiates a layered builder with the given symbol as an input name.

layerRepeat(String, int) - Method in class mklab.JGNN.adhoc.parsers.FastBuilder

Repeats a FastBuilder.layer(String) definition a number of times.

layerRepeat(String, int) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

Repeats a LayeredBuilder.layer(String) definition a number of times.

Learning - Class in tutorial

This implementation covers code of the Learning tutorial.

Learning() - Constructor for class tutorial.Learning

learningRate - Variable in class mklab.JGNN.nn.optimizers.GradientDescent

load(Path) - Static method in class mklab.JGNN.adhoc.ModelBuilder

Loads a ModelBuilder instance from the provided path, such as Paths.get("example.jgnn").

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

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

loadFeatures(String) - Method in class mklab.JGNN.adhoc.Dataset

loadGraph(String) - Method in class mklab.JGNN.adhoc.Dataset

lock() - Method in class mklab.JGNN.nn.NNOperation.ThreadData

log() - Method in class mklab.JGNN.core.tensor.DenseTensor

log() - Method in class mklab.JGNN.core.Tensor

Computes the logarithm of tensor elements.

Log - Class in mklab.JGNN.nn.operations

Implements a NNOperation that outputs the natural logarithm of its single input.

Log() - Constructor for class mklab.JGNN.nn.operations.Log

LogisticRegression - Class in classification

Demonstrates classification with logistic regression.

LogisticRegression() - Constructor for class classification.LogisticRegression

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

Loss - Class in mklab.JGNN.nn

This class provides an abstract implementation of loss functions to be used during Model training.

Loss - Interface in mklab.JGNN.core.util

Provides computation and (partial) derivation of popular activation functions and cross-entropy loss functions.

Loss() - Constructor for class mklab.JGNN.nn.Loss

LossTest - Class in mklab.JGNN.core.util

LossTest() - Constructor for class mklab.JGNN.core.util.LossTest

LRelu - Class in mklab.JGNN.nn.activations

Implements a NNOperation that performs a leaky relu operation, where the first argument is a tensor on which it is applied and the second one should be a tensor wrapping a double value (consider initializing this with as a Constant holding a tensor generated with Tensor.fromDouble(double)) where the wrapped value indicates the negative region's slope.

LRelu() - Constructor for class mklab.JGNN.nn.activations.LRelu

LSTM - Class in mklab.JGNN.nn.operations

LSTM() - Constructor for class mklab.JGNN.nn.operations.LSTM

LSTM(Optimizer, int, int) - Constructor for class mklab.JGNN.nn.operations.LSTM

LSTM.LSTMState - Class in mklab.JGNN.nn.operations

LSTMState(Tensor, Tensor) - Constructor for class mklab.JGNN.nn.operations.LSTM.LSTMState

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