Package org.tribuo.math.util

package org.tribuo.math.util

Provides math related util classes.

There are two interfaces: Merger and VectorNormalizer. Merger is used to combine gradient tensors produced across different examples (i.e., to combine the gradients within a minibatch). VectorNormalizer is used to normalize an array, usually into a probability distribution.

Related Packages

Package	Description
org.tribuo.math	Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
org.tribuo.math.kernel	Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.onnx
org.tribuo.math.optimisers	Provides implementations of StochasticGradientOptimiser.

Class	Description
ExpNormalizer	Normalizes the exponential values of the input array.
HeapMerger	Merges each SparseVector separately using a PriorityQueue as a heap.
MatrixHeapMerger	Merges each DenseSparseMatrix using a PriorityQueue as a heap on the MatrixIterator.
Merger	An interface for merging an array of DenseSparseMatrix into a single DenseSparseMatrix.
NoopNormalizer	NoopNormalizer returns a copy in NoopNormalizer.normalize(double[]) and is a no-op in place.
Normalizer	Normalizes, but first subtracts the minimum value (to ensure positivity).
SigmoidNormalizer	Normalizes the input by applying a logistic sigmoid to each element.
VectorNormalizer	A functional interface that generates a normalized version of a double array.