Fedora Packages

python3-mdp Subpackage of python-mdp

Library for building data processing pipelines for machine learning

The Modular toolkit for Data Processing (MDP) package is a library of widely used data processing algorithms, and the possibility to combine them together to form pipelines for building more complex data processing software. MDP has been designed to be used as-is and as a framework for scientific data processing development. From the user’s perspective, MDP consists of a collection of units, which process data. For example, these include algorithms for supervised and unsupervised learning, principal and independent components analysis and classification. These units can be chained into data processing flows, to create pipelines as well as more complex feed-forward network architectures. Given a set of input data, MDP takes care of training and executing all nodes in the network in the correct order and passing intermediate data between the nodes. This allows the user to specify complex algorithms as a series of simpler data processing steps.

Releases Overview

Release Stable Testing
Fedora 33 3.5-19.20200305git1693b65.fc33 -
Package Info
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You can contact the maintainers of this package via email at python-mdp dash maintainers at fedoraproject dot org.



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