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:

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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:

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