scikit-learn/doc
Kumar Ashutosh b4561f09e6 [MRG+1] Deprecate pooling_func unused parameter in AgglomerativeClustering (#9875) 2017-10-24 16:27:59 +02:00
..
datasets DOC Fix documentation for KDDCup99 dataset (#9974) 2017-10-23 07:59:41 +11:00
developers DOC Encourage contributors to use keywords to close issue automatically (#9954) 2017-10-20 17:04:52 +11:00
images [MRG] Add Alfred P. Sloan foundation to sponsors and footer (#9402) 2017-07-22 13:38:42 +02:00
includes DOC: Less warnings during build 2011-04-10 13:59:29 +02:00
logos DOC optimize some PNG images, shaves off 24kB 2014-07-09 17:40:57 +02:00
modules DOC Fix three typos in manifold documentation (#9990) 2017-10-24 23:06:52 +11:00
sphinxext [MRG+1] Fix typos in documentation (#9878) 2017-10-07 16:06:18 +02:00
templates [MRG] update numpydoc to upstream, include fix for line numbers (#7355) 2017-07-18 19:34:54 +02:00
testimonials Added Zopa testimonial (#8309) 2017-02-08 08:53:29 +01:00
themes/scikit-learn [MRG+1] Fix typos in documentation (#9878) 2017-10-07 16:06:18 +02:00
tutorial [MRG+1] Setting max_iter/tol explicitly for SGD estimators in docs (#9776) 2017-10-04 17:28:32 +02:00
whats_new [MRG+1] Deprecate pooling_func unused parameter in AgglomerativeClustering (#9875) 2017-10-24 16:27:59 +02:00
Makefile MAINT remove entire directory in make clean 2017-09-28 00:33:57 +10:00
README.md MAINT Stop vendoring sphinx-gallery (#9403) 2017-09-11 07:39:37 +10:00
about.rst Credit University of Sydney sponsorship (#9466) 2017-08-01 11:07:02 +02:00
conf.py DOC: use intersphinx for links in gallery examples (#9909) 2017-10-11 15:41:26 +02:00
data_transforms.rst minor grammatical fix 2015-11-16 14:27:51 -08:00
documentation.rst DOC Changed Contributor's Guide to Development Guide #7690 (#7691) 2016-10-19 10:16:11 +11:00
faq.rst [MRG+1] Fix typos in documentation (#9878) 2017-10-07 16:06:18 +02:00
index.rst DOC update news 2017-10-25 00:41:12 +11:00
install.rst Update numpy refs to 1.8.2 (#8926) 2017-05-24 11:53:37 +10:00
make.bat add html-noplot and changed help message to make.bat (#8524) 2017-03-04 14:56:02 -05:00
model_selection.rst DOC Add the learning curve documentation to model_selection.rst 2015-11-04 15:22:09 +01:00
preface.rst minor fixes to the doc build 2015-09-11 17:32:51 -04:00
presentations.rst Fix docs links (#7005) 2016-07-27 16:58:25 -04:00
related_projects.rst [MRG+1] DOC: related project: ML-Ensemble (#9637) 2017-08-29 16:59:02 -04:00
supervised_learning.rst (WIP) Added Multi-layer perceptron (MLP) 2015-10-21 14:41:40 -04:00
support.rst [MRG] bump master to 0.19-dev (#7413) 2016-09-23 10:43:31 +05:30
tune_toc.rst sidebar hide on css 2015-05-25 18:25:11 +02:00
unsupervised_learning.rst (WIP) Added Multi-layer perceptron (MLP) 2015-10-21 14:41:40 -04:00
user_guide.rst DOC organise documentation hierarchy / table of contents 2015-06-12 08:09:41 +10:00
whats_new.rst [MRG+1] Split what's new into separate files (#9505) 2017-09-08 12:51:51 +02:00

README.md

Documentation for scikit-learn

This section contains the full manual and web page as displayed in http://scikit-learn.org. Building the website requires the sphinx and sphinx-gallery packages:

pip install sphinx sphinx-gallery

To generate the full web page, including the example gallery (this might take a while):

make html

Or, if you'd rather not build the example gallery:

make html-noplot

That should create all the doc in directory _build/html

To build the PDF manual, run

make latexpdf

The website is hosted at github and can be updated manually (for releases) by pushing to the https://github.com/scikit-learn/scikit-learn.github.io repository.

It's recommended to run OptiPNG, before uploading the website. The PNG files generated by Matplotlib tend to be ~20% too big, and they're costing us bandwidth. You can run OptiPNG with::

make optipng

Development documentation automated build

A Rackspace cloud server named 'docbuilder' is continuously building the master branch to update the http://scikit-learn.org/dev tree of the website.

The configuration of this server is managed at:

https://github.com/scikit-learn/sklearn-docbuilder