./math/py-scikit-learn, Machine learning algorithms for Python

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Branch: CURRENT, Version: 0.18.2, Package name: py27-scikit-learn-0.18.2, Maintainer: filip

scikit-learn is a Python module integrating classic machine learning
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib). It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various
contexts: machine-learning as a versatile tool for science and
engineering.


Required to run:
[math/blas] [devel/py-setuptools] [math/py-numpy] [lang/python27]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 0931b7d7c9db97b02fb4de34c4e24a01e2bf000b
RMD160: 037129c5d196a55f2b0359f171616c9922b12d4d
Filesize: 9008.316 KB

Version history: (Expand)


CVS history: (Expand)


   2017-11-14 23:56:37 by Min Sik Kim | Files touched by this commit (2) | Package updated
Log message:
math/py-scikit-learn: Update to 0.18.2

Changes:
- Fixes for compatibility with NumPy 1.13.0
- Minor compatibility changes in the examples
   2017-07-05 23:31:28 by Min Sik Kim | Files touched by this commit (4) | Package updated
Log message:
Import py-scikit-learn-0.18.1 from pkgsrc as math/py-scikit-learn

Packaged by Filip Hajny and updated by Kamel Derouiche and me.

scikit-learn is a Python module integrating classic machine learning
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib). It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various
contexts: machine-learning as a versatile tool for science and
engineering.