Bug#559006: ITP: mlpy -- high-performance Python package for predictive modeling

[Andreas Tille <andreas@an3as.eu>]

On Tue, Dec 01, 2009 at 12:35:54AM -0500, Yaroslav Halchenko wrote:
> Package: wnpp
> Severity: wishlist
> Owner: Yaroslav Halchenko <debian@onerussian.com>
> 
> 
> * Package name    : mlpy
>   Version         : 2.1.0
>   Upstream Author : mlpy Developers - FBK-MPBA <albanese@fbk.eu>
> * URL             : https://mlpy.fbk.eu/
> * License         : GPL-3+
>   Programming Lang: C, Python
>   Description     : high-performance Python package for predictive modeling
>  mlpy provides high level procedures that support, with few lines of
>  code, the design of rich Data Analysis Protocols (DAPs) for
>  preprocessing, clustering, predictive classification and feature
>  selection. Methods are available for feature weighting and ranking,
>  data resampling, error evaluation and experiment landscaping.
>  .
>  mlpy includes: SVM (Support Vector Machine), KNN (K Nearest
>  Neighbor), FDA, SRDA, PDA, DLDA (Fisher, Spectral Regression,
>  Penalized, Diagonal Linear Discriminant Analysis) for classification
>  and feature weighting, I-RELIEF, DWT and FSSun for feature weighting,
>  *RFE (Recursive Feature Elimination) and RFS (Recursive Forward
>  Selection) for feature ranking, DWT, UWT, CWT (Discrete, Undecimated,
>  Continuous Wavelet Transform), KNN imputing, DTW (Dynamic Time
>  Warping), Hierarchical Clustering, k-medoids, Resampling Methods,
>  Metric Functions, Canberra indicators.

This sounds like a nice target for Debian Science.

Yaroslav, do you consider group maintenance in this team?

Kind regards

        Andreas.

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