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fieg/bayes
==========

Implementation of Naive Bayes Classifier algorithm in PHP.

1.0.3(9y ago)7394.1k↓50%15PHPPHP >=5.4

Since Jan 22Pushed 8y ago6 watchersCompare

[ Source](https://github.com/fieg/bayes)[ Packagist](https://packagist.org/packages/fieg/bayes)[ Docs](https://github.com/fieg/bayes)[ RSS](/packages/fieg-bayes/feed)WikiDiscussions master Synced 1mo ago

READMEChangelog (4)Dependencies (1)Versions (6)Used By (0)

Naive Bayes Classifier
======================

[](#naive-bayes-classifier)

Implementation of Naive Bayes Classifier algorithm in PHP.

Based on [Machine Learning: Naive Bayes Document Classification Algorithm in Javascript](http://burakkanber.com/blog/machine-learning-naive-bayes-1/) by Burak Kanber.

[![Build Status](https://camo.githubusercontent.com/3cfc0ae9cde1c2e1337dcab63cf228b5420e42eea09dcf53c22a762f7510dbd7/68747470733a2f2f7472617669732d63692e6f72672f666965672f62617965732e706e673f6272616e63683d6d6173746572)](https://travis-ci.org/fieg/bayes)

Getting started
---------------

[](#getting-started)

```
use Fieg\Bayes\Classifier;
use Fieg\Bayes\Tokenizer\WhitespaceAndPunctuationTokenizer;

$tokenizer = new WhitespaceAndPunctuationTokenizer();
$classifier = new Classifier($tokenizer);

$classifier->train('en', 'This is english');
$classifier->train('fr', 'Je suis Hollandais');

$result = $classifier->classify('This is a naive bayes classifier');
```

Which would result in:

```
array(2) {
  'en' =>
  double(0.9)
  'fr' =>
  double(0.1)
}

```

###  Health Score

39

—

LowBetter than 86% of packages

Maintenance20

Infrequent updates — may be unmaintained

Popularity44

Moderate usage in the ecosystem

Community16

Small or concentrated contributor base

Maturity62

Established project with proven stability

 Bus Factor1

Top contributor holds 88.9% of commits — single point of failure

How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window.

**Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores.

**Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement.

**Maturity (30%)** — Project age, version count, PHP version support, and release stability.

###  Release Activity

Cadence

Every ~287 days

Total

4

Last Release

3637d ago

### Community

Maintainers

![](https://www.gravatar.com/avatar/5eceacbc3912547ac51ba584798cc5a7c1bfae49b714978f62b6e1af389307dd?d=identicon)[fieg](/maintainers/fieg)

---

Top Contributors

[![fieg](https://avatars.githubusercontent.com/u/1086908?v=4)](https://github.com/fieg "fieg (16 commits)")[![benniekrijger](https://avatars.githubusercontent.com/u/6360518?v=4)](https://github.com/benniekrijger "benniekrijger (2 commits)")

---

Tags

bayesmachine-learningnaive-bayes-classifierphpbayesclassifierlearningmachinenaive

###  Code Quality

TestsPHPUnit

### Embed Badge

![Health badge](/badges/fieg-bayes/health.svg)

```
[![Health](https://phpackages.com/badges/fieg-bayes/health.svg)](https://phpackages.com/packages/fieg-bayes)
```

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