Ubuntu
mlpy package

mlpy 2.2.0~dfsg1-2build1 source package in Ubuntu

Changelog

mlpy (2.2.0~dfsg1-2build1) natty; urgency=low

  * Rebuild to add support for python 2.7.
 -- Matthias Klose <email address hidden>   Fri, 03 Dec 2010 00:04:53 +0000

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Uploaded by:
Matthias Klose
Uploaded to:
Natty
Original maintainer:
NeuroDebian Team
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
mlpy_2.2.0~dfsg1.orig.tar.gz 170.0 KiB 3f003d3b42bf1fa78a3b88aa724821be680242bdb1305832f555ecc9417425b7
mlpy_2.2.0~dfsg1-2build1.diff.gz 3.7 KiB 88851485383514914e8a9a1f2b3d55dd61d836260846eccb4107a4231cf29a6e
mlpy_2.2.0~dfsg1-2build1.dsc 1.4 KiB 0d1d5aa2edf0f80ac161ba9d712e4ed5f12d45a91a55aff5a09c839cfcb845e9

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Binary packages built by this source

python-mlpy: 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.

python-mlpy-doc: No summary available for python-mlpy-doc in ubuntu natty.

No description available for python-mlpy-doc in ubuntu natty.

python-mlpy-lib: low-level implementations and bindings for mlpy

 This is an add-on package for the mlpy providing compiled core functionality.