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Package: python3-mlpy-lib (3.5.0+ds-1.3build2)

low-level implementations and bindings for mlpy

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.

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

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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1) [not armhf]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libgsl27 (>= 2.7.1)
    GNU Scientific Library (GSL) -- library package
  • dep: libstdc++6 (>= 5)
    GNU Standard C++ Library v3
  • dep: python3 (<< 3.11)
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (>= 3.10~)
  • dep: python3-numpy (>= 1:1.20.0)
    Fast array facility to the Python 3 language
  • dep: python3-numpy-abi9
    virtual package provided by python3-numpy

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amd64 339.9 kB1278 kB [list of files]
arm64 317.8 kB1114 kB [list of files]
armhf 303.9 kB807 kB [list of files]
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