Package mklab.JGNN.core.util

package mklab.JGNN.core.util

Contains utility functions that are employed internally, mainly optimized 1D and 2D iterators.

Author:

Emmanouil Krasanakis

Related Packages

Package	Description
mklab.JGNN.core	Contains base numerical data classes, as well as supporting abstract classes.
mklab.JGNN.core.distribution	Contains data distributions that produce one numerical value and can be used for tensor value initialization.
mklab.JGNN.core.empty	Contains empty extensions of datatypes that hold only dimension names and sizes but no ddata.
mklab.JGNN.core.matrix	Contains implementations of matrix classes, of transparent access to parts of these classes, and of column/row repetitions that broadcast vectors into matrices.
mklab.JGNN.core.tensor	Contains implementations of tensor classes, as well as transparent access to parts of these classes.

Class	Description
FastEntry<K,V>
Loss	Provides computation and (partial) derivation of popular activation functions and cross-entropy loss functions.
LossTest
Range	Implements an iterator that traverses a range [min, max) where the right side is non-inclusive.
Range2D	Implements an iterator that traverses a two-dimensional range (min, max) x (min2, max2).
Sort