| Name : perl-Statistics-MaxEntropy
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:perl
|
| Release : lp155.1.1
| Date : 2023-07-20 18:14:02
|
| Group : Development/Libraries/Perl
| Source RPM : perl-Statistics-MaxEntropy-1.0-lp155.1.1.src.rpm
|
| Size : 0.16 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Perl5 module for Maximum Entropy Modeling and Feature Induction
|
Description :
This module is an implementation of the Generalised and Improved Iterative
Scaling (GIS, IIS) algorithms and the Feature Induction (FI) algorithm as
defined in (*Darroch and Ratcliff 1972*) and (*Della Pietra et al. 1997*).
The purpose of the scaling algorithms is to find the maximum entropy
distribution given a set of events and (optionally) an initial
distribution. Also a set of candidate features may be specified; then the
FI algorithm may be applied to find and add the candidate feature(s) that
give the largest `gain\' in terms of Kullback Leibler divergence when it is
added to the current set of features.
Events are specified in terms of a set of feature functions (properties)
f_1...f_k that map each event to {0,1} or to the natural numbers: an event
is a string of bits. In addition, the frequency of each event is given. We
assume the event space to have a probability distribution that can be
described by
p(x) = 1/Z e^{sum_i alpha_i f_i(x)}
If you have a Perl earlier than 5.005, then you need \'Data::Dumper\' module
by Gurusamy Sarathy. It can be obtained from CPAN just like this module.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/perl:/CPAN-S/15.5/noarch |
