Index

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P

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

param(String, double, Tensor) - Method in class mklab.JGNN.adhoc.ModelBuilder

Declares a learnable Paramater component with the given name, learning L2 regularization, and initial value.

param(String, double, Tensor) - Method in class mklab.JGNN.adhoc.parsers.FastBuilder

param(String, double, Tensor) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

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

Declares a learnable mklab.JGNN.nn.inputs.Paramater component with the given name, zero regularization, and initial value.

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

param(String, Tensor) - Method in class mklab.JGNN.adhoc.parsers.LayeredBuilder

Parameter - Class in mklab.JGNN.nn.inputs

Implements a NNOperation that holds and returns a parameter tensor.

Parameter(Tensor) - Constructor for class mklab.JGNN.nn.inputs.Parameter

Parameter(Tensor, double) - Constructor for class mklab.JGNN.nn.inputs.Parameter

parse(String) - Method in class mklab.JGNN.adhoc.parsers.Neuralang

Parses Neuralang source code by handling function declarations in addition to other expressions.

parse(Path) - Method in class mklab.JGNN.adhoc.parsers.Neuralang

Parses a Neuralang source code file.

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

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

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

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

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

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

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

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

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

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

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

partial(int, List<Tensor>, Tensor, Tensor) - Method in class mklab.JGNN.nn.NNOperation

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

persist() - Method in class mklab.JGNN.core.empty.EmptyMatrix

persist() - Method in class mklab.JGNN.core.empty.EmptyTensor

persist() - Method in class mklab.JGNN.core.matrix.AccessCol

persist() - Method in class mklab.JGNN.core.matrix.AccessRow

persist() - Method in class mklab.JGNN.core.matrix.ColumnRepetition

persist() - Method in class mklab.JGNN.core.matrix.DenseMatrix

persist() - Method in class mklab.JGNN.core.matrix.Diagonal

persist() - Method in class mklab.JGNN.core.matrix.RepeatMatrix

persist() - Method in class mklab.JGNN.core.matrix.RowRepetition

persist() - Method in class mklab.JGNN.core.matrix.SparseMatrix

persist() - Method in class mklab.JGNN.core.matrix.SparseSymmetric

Deprecated.

persist() - Method in class mklab.JGNN.core.matrix.TransposedMatrix

persist() - Method in class mklab.JGNN.core.matrix.VectorizedMatrix

persist() - Method in class mklab.JGNN.core.matrix.WrapCols

persist() - Method in class mklab.JGNN.core.matrix.WrapRows

persist() - Method in class mklab.JGNN.core.tensor.AccessSubtensor

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

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

Deprecated.

This method may not be present in future versions of the library, depending on whether memory reuse proves useful or nor.

persist() - Method in class mklab.JGNN.core.tensor.RepeatTensor

persist() - Method in class mklab.JGNN.core.tensor.SparseTensor

persist() - Method in class mklab.JGNN.core.tensor.VectorizedTensor

predict(List<Tensor>) - Method in class mklab.JGNN.nn.Model

Forward run of the model given a list of input tensors.

predict(Tensor...) - Method in class mklab.JGNN.nn.Model

Forward run of the model given an array of input tensors.

predict(Tensor[]) - Method in class mklab.JGNN.nn.operations.LSTM

PRelu - Class in mklab.JGNN.nn.activations

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

primitives - package primitives

print() - Method in class mklab.JGNN.adhoc.ModelBuilder

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

Prints the current state of accumulated losses.

printState() - Method in class mklab.JGNN.adhoc.ModelBuilder

Pubmed - Class in mklab.JGNN.adhoc.datasets

Downloads and constructs the Pubmed node classification Dataset.

Pubmed() - Constructor for class mklab.JGNN.adhoc.datasets.Pubmed

put(int, double) - Method in class mklab.JGNN.core.tensor.DenseTensor

Overloads DenseTensor.put(long, double) to accept integer positions.

put(int, double) - Method in class mklab.JGNN.core.tensor.VectorizedTensor

put(long, double) - Method in class mklab.JGNN.core.empty.EmptyMatrix

put(long, double) - Method in class mklab.JGNN.core.empty.EmptyTensor

put(long, double) - Method in class mklab.JGNN.core.matrix.AccessCol

put(long, double) - Method in class mklab.JGNN.core.matrix.AccessRow

put(long, double) - Method in class mklab.JGNN.core.matrix.ColumnRepetition

put(long, double) - Method in class mklab.JGNN.core.matrix.DenseMatrix

put(long, double) - Method in class mklab.JGNN.core.matrix.Diagonal

put(long, double) - Method in class mklab.JGNN.core.matrix.RepeatMatrix

put(long, double) - Method in class mklab.JGNN.core.matrix.RowRepetition

put(long, double) - Method in class mklab.JGNN.core.matrix.SparseMatrix

put(long, double) - Method in class mklab.JGNN.core.matrix.SparseSymmetric

Deprecated.

put(long, double) - Method in class mklab.JGNN.core.matrix.TransposedMatrix

put(long, double) - Method in class mklab.JGNN.core.matrix.VectorizedMatrix

put(long, double) - Method in class mklab.JGNN.core.matrix.WrapCols

put(long, double) - Method in class mklab.JGNN.core.matrix.WrapRows

put(long, double) - Method in class mklab.JGNN.core.tensor.AccessSubtensor

put(long, double) - Method in class mklab.JGNN.core.tensor.DenseTensor

put(long, double) - Method in class mklab.JGNN.core.Tensor

Assign a value to a tensor element.

put(long, double) - Method in class mklab.JGNN.core.tensor.RepeatTensor

put(long, double) - Method in class mklab.JGNN.core.tensor.SparseTensor

put(long, double) - Method in class mklab.JGNN.core.tensor.VectorizedTensor

put(long, long, double) - Method in class mklab.JGNN.core.Matrix

Stores values at matrix elements.

putAdd(int, double) - Method in class mklab.JGNN.core.tensor.DenseTensor

Overloads Tensor.putAdd(long, double) to accept integer positions.

putAdd(int, double) - Method in class mklab.JGNN.core.tensor.VectorizedTensor

putAdd(long, double) - Method in class mklab.JGNN.core.Tensor

Add a value to a tensor element.

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All Classes and Interfaces|All Packages