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F

FastBuilder - Class in mklab.JGNN.adhoc.parsers

Extends the capabilities of LayeredBuilder to use for node classification.

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

Deprecated.

This constructor should only be used by loading.

FastBuilder(Matrix, Matrix) - Constructor for class mklab.JGNN.adhoc.parsers.FastBuilder

Creates a graph neural network builder from an normalized adjacency matrix and a node feature matrix.

FastEntry<K,V> - Class in mklab.JGNN.core.util

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

FastEntry(K, V) - Constructor for class mklab.JGNN.core.util.FastEntry

featureDimensionName - Variable in class mklab.JGNN.adhoc.IdConverter

features - Variable in class graphClassification.TrajectoryData

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

Retrieves the dataset's feature matrix.

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.Exp

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.L1

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.LRelu

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.NExp

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.PRelu

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.Relu

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.Sigmoid

forward(List<Tensor>) - Method in class mklab.JGNN.nn.activations.Tanh

forward(List<Tensor>) - Method in class mklab.JGNN.nn.inputs.Parameter

forward(List<Tensor>) - Method in class mklab.JGNN.nn.inputs.Variable

forward(List<Tensor>) - Method in class mklab.JGNN.nn.NNOperation

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Add

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Attention

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Complement

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Concat

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Dropout

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.From

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Gather

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Identity

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Log

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.MatMul

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Multiply

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Reduce

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Repeat

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Reshape

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.To

forward(List<Tensor>) - Method in class mklab.JGNN.nn.operations.Transpose

forward(List<Tensor>) - Method in class mklab.JGNN.nn.pooling.Max

forward(List<Tensor>) - Method in class mklab.JGNN.nn.pooling.Mean

forward(List<Tensor>) - Method in class mklab.JGNN.nn.pooling.SoftMax

forward(List<Tensor>) - Method in class mklab.JGNN.nn.pooling.Sort

forward(List<Tensor>) - Method in class mklab.JGNN.nn.pooling.Sum

From - Class in mklab.JGNN.nn.operations

Implements a NNOperation that lists the first element of the 2D matrix element iterator.

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

fromDouble(double) - Static method in class mklab.JGNN.core.Matrix

Converts a given value to a JGNN-compatible 1x1 matrix.

fromDouble(double) - Static method in class mklab.JGNN.core.Tensor

Converts a given value to a JGNN-compatible dense tensor.

fromRange(long) - Static method in class mklab.JGNN.core.Tensor

Creates a dense tensor holding the desired range [0, 1, ..., end-1].

fromRange(long, long) - Static method in class mklab.JGNN.core.Tensor

Creates a dense tensor holding the desired range [start, start+1, ..., end-1].

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

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

futureConfigs(String, Function<Integer, Double>, int) - Method in class mklab.JGNN.adhoc.parsers.FastBuilder

Defines a number of FastBuilder.config(String, double) symbols involving a {l} notation, for example so that they can be used during FastBuilder.layerRepeat(String, int).

futureConfigs(String, Function<Integer, Double>, int) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

Defines a number of LayeredBuilder.config(String, double) symbols involving a {l} notation, for example so that they can be used during LayeredBuilder.layerRepeat(String, int).

futureConstants(String, Function<Integer, Double>, int) - Method in class mklab.JGNN.adhoc.parsers.FastBuilder

Defines a number of FastBuilder.constant(String, double) symbols involving a {l} notation, for example so that they can be used during FastBuilder.layerRepeat(String, int).

futureConstants(String, Function<Integer, Double>, int) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

Defines a number of LayeredBuilder.constant(String, double) symbols involving a {l} notation, for example so that they can be used during LayeredBuilder.layerRepeat(String, int).

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