Project details for MLPY Machine Learning Py

Screenshot MLPY Machine Learning Py 1.2.7

by albanese - July 14, 2008, 14:00:25 CET [ Project Homepage BibTeX Download ]

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Description:

Machine Learning Py (mlpy) is a high-performance Python/NumPy based package for machine learning.

The package now includes:

Classification

  • Support Vector Machines (SVMs) (linear, gaussian, polinomial, terminated ramps)

  • Spectral Regression Discriminant Analysis (SRDA)

  • Fisher Discriminant Analysis (FDA)

  • Penalized Discriminant Analysis (PDA)

  • Nearest Neighbor (NN)

Feature Weigthing

  • Support Vector Machines (SVMs)

  • Iterative Relief (I-RELIEF)

  • Spectral Regression Discriminant Analysis (SRDA)

  • Fisher Discriminant Analysis (FDA)

  • Penalized Discriminant Analysis (PDA)

  • Discrete Wavelet Transform (DWT)

Feature Ranking

  • Recursive Feature Elimination (rfe, onerfe, erfe, bisrfe, sqrtrfe)

  • Recursive Forward Selection (rfs)

Resampling Methods

  • K-fold

  • Monte Carlo

  • Leave-one-out

  • User-defined split schema

  • Stratification over labels is also available

Metric Functions

Feature List Analysis

  • Canberra distance indicator

  • Borda count

Landscaping Tools

Available for Linux and Windows.

Requires Python >= 2.4 and NumPy >= 1.0.3.

mlpy is free software. It is licensed under the GNU General Public License (GPL) version 3.

BibTeX Entry:
Download
URL:
Project Homepage
Supported Operating Systems:
Linux, Windows, Unix
Tags:
Svm, Classification, Fda, Feature Weighting, Irelief, Rfe, Feature Ranking, Resampling, Srda, Nn, Dwt, Pda
Archive:
download here

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