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Vendor rubix
Package ml
Short Description A high-level machine learning and deep learning library for the PHP language.
License MIT
Homepage https://rubixml.com

Keywords php cart analytics classification Algorithm inference data mining dataset artificial intelligence recommendation Neural network classifier etl nlp machine learning prediction svm ml ranking ensemble natural language processing clustering regression ai image recognition k-means Rubix Linear regression kmeans data science Deep learning feature extraction knn nearest neighbors TF-IDF estimator naive bayes predictive modeling anomaly detection manifold learning dimensionality reduction cross validation k-nearest neighbors adaboost dbscan feature selection feature importance gaussian mixture gmm gradient boost grid search imputation isolation forest loda local outlier factor logistic regression mean shift multilayer perceptron php ml random forest regressor rubixml rubix ml support vector machine t-sne tsne outlier detection php machine learning text mining tf idf gbm softmax lof ridge supervised learning unsupervised learning mlp php ai

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Informations about the package ml

Rubix ML

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

Developer-friendly API is delightful to use
40+ supervised and unsupervised learning algorithms
Support for ETL, preprocessing, and cross-validation
Open source and free to use commercially

Installation

Install Rubix ML into your project using Composer:

Requirements

PHP 7.4 or above

Optional

GD extension for image support
Mbstring extension for fast multibyte string manipulation
SVM extension for Support Vector Machine engine (libsvm)
PDO extension for relational database support
GraphViz for graph visualization

Documentation

Read the latest docs here.

What is Rubix ML?

Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects.

Getting Started

If you are new to machine learning, we recommend taking a look at the What is Machine Learning? section to get started. If you are already familiar with basic ML concepts, you can browse the basic introduction for a brief look at a typical Rubix ML project. From there, you can browse the official tutorials below which range from beginner to advanced skill level.

Tutorials & Example Projects

Check out these example projects using the Rubix ML library. Many come with instructions and a pre-cleaned dataset.

Interact With The Community

Join Our Telegram Channel

Contributing

See CONTRIBUTING.md for guidelines.

License

The code is licensed CC BY-NC 4.0.

All versions of ml with dependencies

PHP Build Version

Package Version

Version 2.4.0 Release 26. May 2023
create-project require 2403 people choosed require and
158 people choosed create-project.

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Download latest version of ml from vendor rubix

Requires php Version >=7.4
ext-json Version *
amphp/parallel Version ^1.3
andrewdalpino/okbloomer Version ^1.0
psr/log Version ^1.1|^2.0|^3.0
rubix/tensor Version ^3.0
symfony/polyfill-mbstring Version ^1.0
symfony/polyfill-php80 Version ^1.17
symfony/polyfill-php82 Version ^1.27
symfony/polyfill-php83 Version ^1.27
wamania/php-stemmer Version ^3.0

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