On Tue, Dec 01, 2009 at 12:35:54AM -0500, Yaroslav Halchenko wrote:
> Package: wnpp
> Severity: wishlist
> Owner: Yaroslav Halchenko <deb...@onerussian.com>
>
>
> * Package name : mlpy
> Version : 2.1.0
> Upstream Author : mlpy Developers - FBK-MPBA <alban...@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.
--
http://fam-tille.de
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