Libraries tagged by php Naive Bayes Classifier
rubix/ml
1690685 Downloads
A high-level machine learning and deep learning library for the PHP language.
niiknow/bayes
62726 Downloads
a machine learning lib
fieg/bayes
95497 Downloads
Implementation of Naive Bayes Classifier algorithm in PHP.
assisted-mindfulness/naive-bayes
536371 Downloads
A fluent Naive Bayes classifier for PHP and Laravel with normalized arbitrary-precision probabilities.
camspiers/statistical-classifier
37022 Downloads
A PHP implementation of Complement Naive Bayes and SVM statistical classifiers, including a structure for building other classifier, multiple data sources and multiple caching backends
hybridlogic/classifier
1446 Downloads
A Naive Bayesian classification library for PHP with support for different tokenizers to optimize string classification.
biobii/naive-bayes-text-classifier
178 Downloads
Text classification using Naive Bayes approach
byjg/text-classifier
15 Downloads
A PHP text classifier supporting binary spam filtering (Robinson-Fisher Bayesian) and multi-class Naive Bayes classification, with optional LLM-assisted active learning fallback.
rubix/dota2
196 Downloads
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.
ghostjat/pml
9 Downloads
High-performance Tensor library for PHP utilizing FFI, OpenBLAS, and zero-copy memory operations.
are-one/naive-bayes
0 Downloads
Text Classification With Naive Bayes Classifier in PHP
jamesfrost/statistical-classifier
2680 Downloads
A PHP implementation of Complement Naive Bayes and SVM statistical classifiers, including a structure for building other classifier, multiple data sources and multiple caching backends
wfphpnlp/naivebayesclassifier
65 Downloads
PHP library for Indonesian text classification using the Naive Bayes Classifier (NBC) approach.
belisoful/prado-bayesian
1 Downloads
Bayesian classification and recommendation for the PRADO PHP framework: Naive Bayes spam filtering, multinomial/Bernoulli/complement Naive Bayes, TF-IDF weighting, evaluation metrics, and a probabilistic recommender.