Libraries tagged by bayes

rubix/ml

2046 Favers
756954 Downloads

A high-level machine learning and deep learning library for the PHP language.

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niiknow/bayes

69 Favers
26988 Downloads

a machine learning lib

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assisted-mindfulness/naive-bayes

40 Favers
440913 Downloads

Naive Bayes classifier algorithm

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assisted-mindfulness/bayesian-average

5 Favers
320130 Downloads

A Bayesian average is a method of estimating the mean of a population using outside information, especially a pre-existing belief, which is factored into the calculation.

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fieg/bayes

74 Favers
87755 Downloads

Implementation of Naive Bayes Classifier algorithm in PHP.

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camspiers/statistical-classifier

178 Favers
36963 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

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bentools/split-test-analyzer

8 Favers
17166 Downloads

Bayesian probability calculator for split testing / AB testing.

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andreekeberg/abby

34 Favers
7815 Downloads

🙋‍♀️ Minimal A/B Testing Library

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ilicmiljan/weighted-ratings

3 Favers
26684 Downloads

A lightweight PHP library for calculating the Wilson Lower Bound Score and Bayesian Approximation weights for sorting algorithms based on user feedback.

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kbariotis/documer

78 Favers
178 Downloads

Bayes algorithm implementation in PHP for auto document classification.

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hybridlogic/classifier

81 Favers
1435 Downloads

A Naive Bayesian classification library for PHP with support for different tokenizers to optimize string classification.

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bgruszka/phpantispam

26 Favers
788 Downloads

Bayesian spam recognition library

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biobii/naive-bayes-text-classifier

14 Favers
169 Downloads

Text classification using Naive Bayes approach

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rubix/dota2

14 Favers
182 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.

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mitmelon/sentiment

2 Favers
22 Downloads

Sentiment is a sentiment classifier. It uses a model of words that are categorised as positive, negative or neutral, and a naive bayes algorithm to calculate sentiment. To improve accuracy, Sentiment removes 'noise' words.

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