Search results for "Bayes"

Redis::Bayes - Bayesian classification on Redis River stage zero No dependents

This module is an implementation of naive Bayes on Redis....

TRSKI/Redis-Bayes-0.024 - Jan 17, 2015 - Search in distribution

Mail::SpamAssassin::Bayes - support for learning classifiers River stage two • 13 direct dependents • 18 total dependents

This is the general class used to train a learning classifier with new samples of spam and ham mail, and classify based on prior training. Prior to version 3.3.0, the default Bayes implementation was here; if you're looking for information on that, i...

SIDNEY/Mail-SpamAssassin-4.0.1 - Mar 29, 2024 - Search in distribution

VUser::SpamAssassin::SQL::Bayes - vuser SpamAssassin SQL Bayesian filter extension River stage zero No dependents

VUser::SpamAssassin::SQL::Bayes is an extension to vuser that allows one to view and modify users' SpamAssassin Bayesian data in an SQL database. For now only deleting the data is supported....

RSMITH/VUser-SpamAssassin-SQL-0.1.0 - Sep 21, 2007 - Search in distribution

AI::NaiveBayes - A Bayesian classifier River stage one • 1 direct dependent • 1 total dependent

This module implements the classic "Naive Bayes" machine learning algorithm. This is a low level class that accepts only pre-computed feature-vectors as input, see AI::Classifier::Text for a text classifier that uses this class. Creation of "AI::Naiv...

ZBY/AI-NaiveBayes-0.04 - Jan 20, 2017 - Search in distribution

AI::NaiveBayes1 - Naive Bayes Classification River stage zero No dependents

This module implements the classic "Naive Bayes" machine learning algorithm. Data Structure An object contains the following fields: "{attributes}" List of attribute names. "{attribute_type}{$a}" Attribute types - 'real', or not (e.g., 'nominal') "{l...

VLADO/AI-NaiveBayes1-2.012 - May 29, 2021 - Search in distribution

Algorithm::NaiveBayes - Bayesian prediction of categories River stage one • 2 direct dependents • 2 total dependents

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 reaso...

KWILLIAMS/Algorithm-NaiveBayes-0.04 - Jun 08, 2007 - Search in distribution

Data::Classifier::NaiveBayes River stage zero No dependents

This a Naive Bayes classifer. The code for this project is largely and shamelessly based off of the work done by alexandru's stuff-classifier originally written in Ruby. https://github.com/alexandru/stuff-classifier The code was ported over to Perl a...

LOGIE/Data-Classifier-NaiveBayes-0.001 - Apr 05, 2012 - Search in distribution

AI::Categorizer::Learner::NaiveBayes - Naive Bayes Algorithm For AI::Categorizer River stage one • 1 direct dependent • 1 total dependent

This is an implementation of the Naive Bayes decision-making algorithm, applied to the task of document categorization (as defined by the AI::Categorizer module). See AI::Categorizer for a complete description of the interface. This module is now a w...

KWILLIAMS/AI-Categorizer-0.09 - Mar 24, 2007 - Search in distribution

App::Sandy::Role::Counter - Bayes counter River stage zero No dependents

TMILLER/App-Sandy-0.25 - Sep 19, 2023 - Search in distribution

AI::Calibrate - Perl module for producing probabilities from classifier scores River stage zero No dependents

Classifiers usually return some sort of an instance score with their classifications. These scores can be used as probabilities in various calculations, but first they need to be *calibrated*. Naive Bayes, for example, is a very useful classifier, bu...

TOMFA/AI-Calibrate-1.5 - Aug 03, 2012 - Search in distribution

Image::Leptonica::Func::recogdid River stage zero No dependents

ZMUGHAL/Image-Leptonica-0.04 - Aug 16, 2014 - Search in distribution

AI::Classifier::Japanese - the combination wrapper of Algorithm::NaiveBayes and Text::MeCab. River stage zero No dependents

AI::Classifier::Japanese is a Japanese-text category classifier module using Naive Bayes and MeCab. This module is based on Algorithm::NaiveBayes. Only noun, verb and adjective are currently supported....

SHINGT/AI-Classifier-Japanese-0.01 - Mar 17, 2014 - Search in distribution

Bio::Tools::Phylo::PAML::ModelResult - A container for NSSite Model Result from PAML River stage one • 1 direct dependent • 1 total dependent

CDRAUG/Bio-Tools-Phylo-PAML-1.7.3 - Jul 01, 2018 - Search in distribution

Algorithm::ExpectationMaximization - A Perl module for clustering numerical multi-dimensional data with the Expectation-Maximization algorithm. River stage zero No dependents

Algorithm::ExpectationMaximization is a *perl5* module for the Expectation-Maximization (EM) method of clustering numerical data that lends itself to modeling as a Gaussian mixture. Since the module is entirely in Perl (in the sense that it is not a ...

AVIKAK/Algorithm-ExpectationMaximization-1.22 - Dec 11, 2014 - Search in distribution

Lingua::JA::Categorize - Naive Bayes Classifier for Japanese document. River stage zero No dependents

Lingua::JA::Categorize is a Naive Bayes classifier for Japanese document. THIS MODULE IS IN ITS ALPHA QUALITY....

MIKI/Lingua-JA-Categorize-0.02002 - Jul 06, 2011 - Search in distribution
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