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scikit-learn_0.4.orig.tar.gz

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/scikit-learn-0.4/README.rst

.. -*- mode: rst -*-

About
=====

scikits.learn is a python module for machine learning built on top of
scipy.

The project was started in 2007 by David Cournapeu as a Google Summer
of Code project, and since then many volunteers have contributed. See
the AUTHORS file for a complete list of contributors.

It is currently maintained by a team of volunteers.


Download
========

You can download so
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/scikit-learn-0.4/doc/README

Upload the generated doc to sourceforge
---------------------------------------

First of, generate the html documentation::

    make html

This should create a directory _build/html with the documentation in html fornmat.


Now can upload the generated html documentation using scp or some other SFTP clients.

    * Project web Hostname: web.sourceforge.net
    * Path: htdocs/
    * Username: Com
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/scikit-learn-0.4/doc/sphinxext/README.txt

=====================================
numpydoc -- Numpy's Sphinx extensions
=====================================

Numpy's documentation uses several custom extensions to Sphinx.  These
are shipped in this ``numpydoc`` package, in case you want to make use
of them in third-party projects.

The following extensions are available:

  - ``numpydoc``: support for the Numpy docstring format in Sphinx, 
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/scikit-learn-0.4/examples/README.txt

General examples
-------------------

General-purpose and introductory examples for the scikit.


/scikit-learn-0.4/examples/glm/README.txt

Generalized Linear Models
-------------------------

Examples concerning the `scikits.learn.glm` pa
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/scikit-learn-0.4/examples/svm/README.txt

.. _svm_examples:

SVM: support vector machine
------------------------------

Examples concerning t
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/scikit-learn-0.4/scikits/learn/ann/README

+-----------------------------------+
|Artificial Neural Networks in SciPy|
+-----------------------
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/scikit-learn-0.4/AUTHORS

.. -*- mode: rst -*-

Authors
=======

The project was started in summer 2007 by David Cournapeau. S
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