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Modular toolkit for Data Processing MDP 3.0

Company: mdp-toolkit.sourceforge.net
Date Added: October 18, 2012  |  Visits: 270

Modular toolkit for Data Processing MDP

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The Modular toolkit for Data Processing (MDP) is a Python data processing framework.

From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.

From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library.

The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.

Requirements: No special requirements
Release Date: October 18, 2012
Platforms: Windows, Mac, Linux
Users rating: 0/10

License: Freeware Size: 435.01 KB
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