Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/apache/predictionio

PredictionIO, a machine learning server for developers and ML engineers.
https://github.com/apache/predictionio

big-data predictionio scala

Last synced: 1 day ago
JSON representation

PredictionIO, a machine learning server for developers and ML engineers.

Host: GitHub
URL: https://github.com/apache/predictionio
Owner: apache
License: apache-2.0
Archived: true
Created: 2013-01-25T19:42:32.000Z (about 12 years ago)
Default Branch: develop
Last Pushed: 2021-01-09T10:30:58.000Z (about 4 years ago)
Last Synced: 2024-11-21T00:32:43.695Z (2 months ago)
Topics: big-data, predictionio, scala
Language: Scala
Homepage: https://predictionio.apache.org
Size: 34.6 MB
Stars: 12,544
Watchers: 756
Forks: 1,928
Open Issues: 80
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt

Awesome Lists containing this project

awesome-production-machine-learning - PredictionIO - An open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task (Model and Data Versioning)
Awesome-AIML-Data-Ops - PredictionIO - An open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task (Model and Data Versioning)
awesome-cloud-native - predictionio - PredictionIO, a machine learning server for developers and ML engineers. (AI)
awesome-production-machine-learning - Apache PredictionIO - An open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. (Deployment and Serving)
awesome-mlops - PredictionIO - Event collection, deployment of algorithms, evaluation, querying predictive results via APIs. (Model Serving)
StarryDivineSky - apache/predictionio

README

        

# [Apache PredictionIO](http://predictionio.apache.org)

[![Build

Status](https://api.travis-ci.org/apache/predictionio.svg?branch=develop)](https://travis-ci.org/apache/predictionio)

Apache PredictionIO is an open source machine learning framework

for developers, data scientists, and end users. It supports event collection,

deployment of algorithms, evaluation, querying predictive results via REST APIs.

It is based on scalable open source services like Hadoop, HBase (and other DBs),

Elasticsearch, Spark and implements what is called a Lambda Architecture.

To get started, check out http://predictionio.apache.org!

## Table of contents

- [Installation](#installation)

- [Quick Start](#quick-start)

- [Bugs and Feature Requests](#bugs-and-feature-requests)

- [Documentation](#documentation)

- [Contributing](#contributing)

- [Community](#community)

## Installation

A few installation options available.

*   [Installing Apache PredictionIO from

    Binary/Source](http://predictionio.apache.org/install/install-sourcecode/)

*   [Installing Apache PredictionIO with

    Docker](http://predictionio.apache.org/install/install-docker/)

## Quick Start

*   [Recommendation Engine Template Quick

    Start](http://predictionio.apache.org/templates/recommendation/quickstart/)

    Guide

*   [Similiar Product Engine Template Quick

    Start](http://predictionio.apache.org/templates/similarproduct/quickstart/)

    Guide

*   [Classification Engine Template Quick

    Start](http://predictionio.apache.org/templates/classification/quickstart/)

    Guide

## Bugs and Feature Requests

Use [Apache JIRA](https://issues.apache.org/jira/browse/PIO) to report bugs or request new features.

## Documentation

Documentation, included in this repo in the `docs/manual` directory, is built

with [Middleman](http://middlemanapp.com/) and publicly hosted at

[predictionio.apache.org](http://predictionio.apache.org/).

Interested in helping with our documentation? Read [Contributing

Documentation](http://predictionio.apache.org/community/contribute-documentation/).

## Community

Keep track of development and community news.

*   Subscribe to the user mailing list 

    and the dev mailing list 

*   Follow [@predictionio](https://twitter.com/predictionio) on Twitter.

## Contributing

Read the [Contribute Code](http://predictionio.apache.org/community/contribute-code/) page.

You can also list your projects on the [Community Project

page](http://predictionio.apache.org//community/projects/).

## License

Apache PredictionIO is under [Apache 2

license](http://www.apache.org/licenses/LICENSE-2.0.html).