This module provides basic functions used in descriptive statistics. It
has an object oriented design and supports two different types of data
storage and calculation objects: sparse and full. With the sparse
method, none of the data is stored and only a few statistical measures
are available. Using the full method, the entire data set is retained
and additional functions are available.
This package provides cubic spline interpolation of numeric data. The
data is passed as references to two arrays containing the x and y
ordinates. It may be used as an exporter of the numerical functions or,
more easily as a class module.
libneural is an extremely tiny library for creating a software three
layer backpropagation neural network. This is useful for a very wide
variety of pattern recognition and classification problems. It is
written in C++, based on the standard algorithm with NO fancy features
like bias terms or momentum.
Most useful change is that this does now build with ecl.
Thus it should build on !i386. Most arches untested yet, but ecl
is vastly more portable.
(discussed with jasper and pvalchev)
what will be added post-release
for now __isinf will do, relying on the ieee 754 fact that long
infinity assigned to double infinity will be infinity
XXX: remove post-release
ok sthen@
on alpha. Wrap in .if ${MACHINE_ARCH} == "alpha" as it caused
regressions on other archs.
No bump since it didn't build on alpha before and only alpha is
affected.
Discussed with steven@
Fast Artificial Neural Network Library is a free open source neural
network library, which implements multilayer artificial neural networks
in C with support for both fully connected and sparsely connected
networks. Cross-platform execution in both fixed and floating point are
supported. It includes a framework for easy handling of training data
sets. It is easy to use, versatile, well documented, and fast.
