This module implements the classic "Naive Bayes" machine learning
algorithm. It is a well-studied probabilistic algorithm often used in
automatic text categorization. Compared to other algorithms (kNN, SVM,
Decision Trees), it's pretty fast and reasonably competitive in the
quality of its results.
The Statistics::Contingency class helps you calculate several useful
statistical measures based on 2x2 "contingency tables". These can be
used for measures to help judge the results of automatic text
categorization experiments, but they are useful in other situations
as well.
- explicitely add build_depends on rarian where gnome-doc-utils is also a
build dependency as it does not itself run_depends on rarian anymore
This was the 2nd and hopefully last pass of rarian/scrollkeeper cleaning.
discussed with jasper@
science, and engineering. It includes modules for statistics,
optimization, integration, linear algebra, Fourier transforms, signal
and image processing, genetic algorithms, ODE solvers, and more. It
is also the name of a very popular conference on scientific
programming with Python.
The SciPy library depends on NumPy, which provides convenient and fast
N-dimensional array manipulation. The SciPy library is built to work
with NumPy arrays, and provides many user-friendly and efficient
numerical routines such as routines for numerical integration and
optimization. Together, they run on all popular operating systems, are
quick to install, and are free of charge. NumPy and SciPy are easy to
use, but powerful enough to be depended upon by some of the world's
leading scientists and engineers. If you need to manipulate numbers on
a computer and display or publish the results, give SciPy a try!
ok ajacoutot@
wcalc is a powerful arbitrary-precision calculator. It has standard
functions (sin, asinh, logtwo, floor, etc), many pre-defined constants
(pi, e, c, etc.), variables, "active" variables, command history, and
hex/octal/binary i/o, conversions, and more.
from maintainer Amarendra Godbole
tested on amd64, and looks ok to steven@
support is present. since we don't have it yet; it implements
it's own. however, on alpha, powerpc, it declared functions with
types that conflict with C99 (double for *l), therefore failed.
reported by merdely@; tested by and ok kili@
This package provides some basic statistics on numerical vectors.
All the subroutines can take a reference to the vector to be operated
on. In some cases a copy of the vector is acceptable, but is not
recommended for efficiency.
ok simon@
AI::FANN is a Perl wrapper for the Fast Artificial Neural Network (FANN)
Library. It's an object oriented interface provides an almost direct map
to the C library API.
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@
