Package org.tribuo.math.util

Provides math related util classes.

See: Description

Interface Summary

Interface	Description
Merger	An interface for merging an array of DenseSparseMatrix into a single DenseSparseMatrix.
VectorNormalizer	A functional interface that generates a normalized version of a double array.

Class Summary

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.
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.

Package org.tribuo.math.util Description

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.