* Add context to tutorial example
* try to keep line length under 80 characters
* make CI pass
* MNT Skips unsupervised_learning when scikit-image is not installed
* DOC make code comments as text
* solve issue plotting
* fix
* center images
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>
* add pprint for estimators
* strip color from length, add color option
* Minor cleaning, fixes, factoring and docs
* Added some basic tests
* Fixed line length issue
* fixed flake8 and added visual test for review
* Fixed test
* Fixed Python 2 issues (inspect.signature import)
* Trying to fix flake8 again
* Added special repr for functions
* Added some other visual tests
* Changed _format_function in to _format_callable
because callable() returns True also for class objects (which we want to
reprensent with their name as well anyway)
* Consistent output in Python 2 and 3
* WIP
* Now using the builtin pprint module
* pep8
* Added changed_only param
* Fixed printing when string would fit in less than line width
* Fixed printing of steps parameter
* Fixed changed_only param for short estimators
* fixed pep8
* Added some more description in docstring
* changed_only is now an option from set_config()
* Put _pprint.py into sklearn/utils, added tests
* Added doctest NORMALIZE_WHITESPACE where needed
* Fixed tests
* fix test-doc
* fixing test that passed before....
* Fixed tests
* Added test for changed_only and long lines
* typo
* Added authors names
* Added license file
* Added ellipsis based on number of elements in sequence + added increasinly aggressive repr strategies
* Updated whatsnew
* dont use increaingly aggressive strategy
* Fixed tests
* Removed LICENSE file and put license text in _pprint.py
* fixed test_base
* Sorted parameters dictionary for consistent output in 3.5
* Actually using OrderedDict...
* Addressed comments
* Added test for NaN changed parameter
* Update whatsnew
* Added example to set_config()
* Removed example
* Added example in gallery
* Spelling
renamed elkan -> triangle_inequality, lloyd-> full
pep8, rename _kmeans_single -> _kmeans_single_lloyd
add a docstring to elkans k-means in cython.
fixed text for full
Fixed elkans kmeans so that predict is same as labels
Added test to ensure full and triangle_inequality give same results
changed triangle_inequality to elkan
Addressed review comments
removed rebase artifacts
correct whats_new
moved enhancement bullet to 0.18
removed extra newline
strong typing dor prototype
fixed random state
removed c file
removed merge artifacts
removed entry from 0.17
Add documentation and inline_comments to _k_means_elkan.pyx
Minor rearrngement of docstring sentences
removed call to np.sort to improve speed for large number of clusters
replced logic with call to np.partition
Fallback to sort if partition does not exist
use partition from fixes rather than numpy
- I wish to replace the old plot_ols.py example with a new one which
uses the diabetes_dataset instead of synthetic data.
- references to changed example paths updated
Chiara Marmo