Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Loïc Estève <loic.esteve@ymail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
* Added links to utils.Bunch and fixed format of the docstring in datasets
* Added links to utils.Bunch in sklearn.compose
* Added links to utils.Bunch in sklearn.tree
* Added links to utils.Bunch in sklearn.ensemble
* Added links to utils.Bunch in sklearn.inspection
* Added links to utils.Bunch in sklearn.pipeline
* modified docstring of Bunch
* Added links to utils.Bunch to index.rst of sklearn.datasets
* Fixed some docstrings because the lines are too long
* Fixed some points as reviewed.
* Add links and delete 'for more information...'
* Fixed indent
* Fixed forgotten points.
* Fixed some points as reviewed.
* doc/datasets/conftest.py to implement the equivalent of nose fixtures
* add conftest.py in root folder to ensure that sklearn local folder
is used rather than the package in site-packages
* test doc with pytest in Travis
* move custom_data_home definition from nose fixture to .rst file
* Update tutorial.rst
* Update tutorial.rst
* Update tutorial.rst
* Update tutorial.rst
* Update index.rst
* Update index.rst
* Update tutorial.rst
* Update tutorial.rst
* Update tutorial.rst
* Update faq.rst
* Update faq.rst
* Divided in two cases (standard columnar and misc data)
I also added a preprocessing note at the end
* Update tutorial.rst
* Update faq.rst
* Update index.rst
Also added some references that were in the original FAQ and pointed the FAQ to here
* Update index.rst
Added the information from the removed part of the FAQ because I felt that the FAQ version was better than the explanation I gave.
* Update index.rst
reference to skimage and also has sklearn.preprocessing.OneHotEncoder instead of OneHotEncoder
* Update index.rst
* Update index.rst
Changed with @jnothman's feedback
d16ac523ed
* Update faq.rst
* optimized file formats added to datasets/index.rst
Note: if you manage your own numerical data it is recommended to use an optimized file format such as HDF5 to reduce data load times. Various libraries such as H5Py, PyTables and pandas provides a Python interface for reading and writing data in that format.
- From the FAQ
* faq.rst: Moved the comment in bunch section to datasets index
This comment has been moved to the datasets index in the external_datasets section:
Note: if you manage your own numerical data it is recommended to use an optimized file format such as HDF5 to reduce data load times. Various libraries such as H5Py, PyTables and pandas provides a Python interface for reading and writing data in that format.
* Update index.rst
Included all changes mentioned by @amueller and @jnothman
* Update faq.rst
* Update faq.rst
* use less nose.tools import to simplify future transition to activly developing test suites/runners
* assert_equal -> assert_array_equal in test_feature_hasher_pairs_with_string_values
and one missed ImportError that should be replaced with AttributeError
* test for py2.6 compat with except AttributeError
* fix importing of SkipTest
* force using nose in python2.6 for now
* there was no assert_dict_equal in py2.6. but we can use assert_equal
although failed test will look a little bit ugly
* remove nose imports from doc/datasets
* docs: fix broken and redirect links
see #7000
* docs: fix links
see #7000
* docs: merge with master
* docs: fix fnrs and tinyclues logo links
* docs: fix link reference in text
* docs: fix typo
* docs: added back in metaoptimize-qa paragraph
* docs: update language for defunct site
* docs: update stackexchange section
* docs: remove defunct site, move quora to top
* docs: remove defunct link and rearrange links
Olivier Grisel
Hanmin Qin