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Type Private(Developed by Davide Albanese[1])
Industry Machine Learning
Founded March 2012 (Stable Release)
Key people Davide Albanese, Giuseppe Jurman, Stefano Merler, Roberto Visintainer, Marco Chierici, Lance Hepler
Investors Predictive Models for Biological Predictive Models for Biological and Environmental Data Analysis (MPBA) Research Unit at Fondazione Bruno Kessler[2], Associazione Italiana per la Ricerca sul Cancro[3]
Related Certifications Certificate in Machine Learning Industry Overview

Mlpy is a Python open source module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries, it makes an extensive use of the Cython language. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. Mlpy is multiplatform, it works with Python 2 and 3 and it is Open Source, distributed under the GNU General Public License version 3.[4] Suited for general-purpose machine learning tasks, mlpy's motivating application field is bioinformatics, i.e. the analysis of high throughput omics data.[5][6]


  • mlpy 3.5.0 released (2012-03-12).
  • mlpy 3.4.0 released (2012-01-09).
  • mlpy 3.3.0 released (2011-12-19). From this version, mlpy for Windows is compiled with Visual Studio Express 2008 in order to avoid runtime errors.
  • mlpy 3.2.1 released (2011-12-9). From this version mlpy is available both for Python >=2.6 and Python 3.X.
  • mlpy 3.2 released (2011-12-5)
  • mlpy 3.1 released (2011-12-1)


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