Index

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I

IdConverter - Class in mklab.JGNN.adhoc

Converts back-and-forth between objects and unique ids.

IdConverter() - Constructor for class mklab.JGNN.adhoc.IdConverter

Instantiates an empty converter to be filled with IdConverter.getOrCreateId(Object).

IdConverter(List<?>) - Constructor for class mklab.JGNN.adhoc.IdConverter

Instantiates the converter on a list of objects to register with IdConverter.getOrCreateId(Object) on.

Identity - Class in mklab.JGNN.nn.operations

Implements a NNOperation that just transfers its single input.

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

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

init(long) - Method in class mklab.JGNN.core.Tensor

Can be called instead of super(size) by inheriting class constructors as needed after.

init(Initializer) - Method in class mklab.JGNN.nn.Model

Apply the provided initializer on the model to set first values to its parameters.

Initializer - Class in mklab.JGNN.nn

This class defines an abstract interface for applying initializers to models.

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

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

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

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

isCachable() - Method in class mklab.JGNN.nn.inputs.Constant

isCachable() - Method in class mklab.JGNN.nn.inputs.Parameter

isCachable() - Method in class mklab.JGNN.nn.inputs.Variable

isCachable() - Method in class mklab.JGNN.nn.NNOperation

Checks whether the operation's output should be cached given that it is a constant.

isCachable() - Method in class mklab.JGNN.nn.operations.Dropout

isCachable() - Method in class mklab.JGNN.nn.operations.From

isCachable() - Method in class mklab.JGNN.nn.operations.Reshape

isCachable() - Method in class mklab.JGNN.nn.operations.To

isConstant() - Method in class mklab.JGNN.nn.inputs.Constant

isConstant() - Method in class mklab.JGNN.nn.inputs.Parameter

isConstant() - Method in class mklab.JGNN.nn.inputs.Variable

isConstant() - Method in class mklab.JGNN.nn.NNOperation

Checks whether the operation yields a constant output, so that propagation does not try to compute partial derivatives for it.

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

isEnabled() - Method in class mklab.JGNN.nn.operations.Dropout

isInputNeededForDerivative(int) - Method in class mklab.JGNN.nn.NNOperation

isInputNeededForDerivative(int) - Method in class mklab.JGNN.nn.operations.MatMul

isMatching(Tensor) - Method in class mklab.JGNN.core.Matrix

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

Compares the tensor with another given tensor to see if they are of a same type.

isOutputNeededForDerivative() - Method in class mklab.JGNN.nn.NNOperation

iterator() - Method in class mklab.JGNN.core.matrix.ColumnRepetition.Repeat1DIterator

iterator() - Method in class mklab.JGNN.core.matrix.ColumnRepetition.Repeat2DIterator

iterator() - Method in class mklab.JGNN.core.matrix.Diagonal.Diagonal1DIterator

iterator() - Method in class mklab.JGNN.core.matrix.Diagonal.Diagonal2DIterator

iterator() - Method in class mklab.JGNN.core.matrix.RowRepetition.Repeat1DIterator

iterator() - Method in class mklab.JGNN.core.matrix.RowRepetition.Repeat2DIterator

iterator() - Method in class mklab.JGNN.core.matrix.SparseMatrix.Sparse2DIterator

iterator() - Method in class mklab.JGNN.core.matrix.TransposedMatrix.Transposed1DIterator

iterator() - Method in class mklab.JGNN.core.matrix.TransposedMatrix.Transposed2DIterator

iterator() - Method in class mklab.JGNN.core.matrix.WrapCols.Wrap1DIterator

iterator() - Method in class mklab.JGNN.core.matrix.WrapCols.Wrap2DIterator

iterator() - Method in class mklab.JGNN.core.matrix.WrapRows.Wrap1DIterator

iterator() - Method in class mklab.JGNN.core.matrix.WrapRows.Wrap2DIterator

iterator() - Method in class mklab.JGNN.core.Slice

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

iterator() - Method in class mklab.JGNN.core.util.Range

iterator() - Method in class mklab.JGNN.core.util.Range2D

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