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author Frederic Bastien <nouiz@nouiz.org>
date Fri, 28 Jan 2011 11:00:11 -0500
parents 9ce32a8252d2
children 04d859714506
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9472d234db2e Added basics for documentation with sphinx and epydoc, by copying files from the Theano/doc directory
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2 Welcome
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3 =======
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5 Pylearn is a Python library for machine learning, built on top of Theano, our
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6 library for defining, optimizing and evaluating mathematical expressions
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7 involving multi-dimensional arrays.
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9 This documentation is under construction, but you can already access the
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10 automatically-generated API doc, along with more extensive explanations for
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11 some modules.
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13 Download
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14 ========
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16 We recommend the latest development version, available via::
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18 hg clone http://hg.assembla.com/pylearn Pylearn
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20 The ``pylearn`` subfolder should be on your ``$PYTHONPATH``.
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22 Documentation
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23 =============
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25 For the moment, the following documentation is available.
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be53f56b37b8 Added example cost formula with tags and created a formulas page in the doc
boulanni <nicolas_boulanger@hotmail.com>
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27 * `Formulas <formulas.html>`_ -- Built-in math formulas optimized for speed and robustness
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8837535006f1 Added SeriesTables module (which I had placed originally in the IFT6266 repository) and its doc. Added a logo for the doc and changed conf.py to reflect correct title.
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28 * :doc:`io.SeriesTables module <seriestables>` -- Saves error series and other statistics during training
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29 * `API <api/>`_ -- The automatically-generated API documentation
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b699d096e6cc add a link on the main page to the V2_planning page.
Frederic Bastien <nouiz@nouiz.org>
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30 * `V2 planning <v2_planning/index.html>`_ -- Some documentation about the planning of our next version of pylearn.
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32 You can download the latest `PDF documentation <http://deeplearning.net/software/pylearn/pylearn.pdf>`_, rather than reading it online.
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