Nelle v batch k means #1
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…into NelleV-batchKMeans
…into NelleV-batchKMeans
NelleV
pushed a commit
that referenced
this pull request
Oct 7, 2011
This commit includes the following list of changes: - Documentation has been enhanced and completed. - Examples have been added. - The `percentage` (float) parameter has become `step` (int or float), and indicates the number of features to remove at each iteration (int), or the percentage of features to remove (float) with respect to the original number of features. - Exactly `n_features_to_select` are now always selected. It may not always have been the case before, as too many features could have been removed at a time in the last step of the elimination. - The `ranking_` attribute is now a proper ranking of the features (i.e., best features are ranked #1). - The code of `RFECV` has been made simpler. - The `cv` argument of RFECV.fit has been moved into the constructor and is now passed through `check_cv`. - Tests.
NelleV
pushed a commit
that referenced
this pull request
Dec 15, 2011
NelleV
pushed a commit
that referenced
this pull request
Aug 9, 2012
REF: hack to be able to share distutils utilities.
NelleV
pushed a commit
that referenced
this pull request
Jun 25, 2013
NelleV
pushed a commit
that referenced
this pull request
Jun 25, 2013
NelleV
pushed a commit
that referenced
this pull request
Feb 21, 2017
…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std #1 * Changing predict_std to return_std #2 * Changing predict_std to return_std #3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
NelleV
pushed a commit
that referenced
this pull request
Aug 11, 2017
…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std #1 * Changing predict_std to return_std #2 * Changing predict_std to return_std #3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
glemaitre
pushed a commit
that referenced
this pull request
Jul 17, 2018
* Add averaging option to AMI and NMI Leave current behavior unchanged * Flake8 fixes * Incorporate tests of means for AMI and NMI * Add note about `average_method` in NMI * Update docs from AMI, NMI changes (#1) * Correct the NMI and AMI descriptions in docs * Update docstrings due to averaging changes - V-measure - Homogeneity - Completeness - NMI - AMI * Update documentation and remove nose tests (#2) * Update v0.20.rst * Update test_supervised.py * Update clustering.rst * Fix multiple spaces after operator * Rename all arguments * No more arbitrary values! * Improve handling of floating-point imprecision * Clearly state when the change occurs * Update AMI/NMI docs * Update v0.20.rst * Catch FutureWarnings in AMI and NMI
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Here are some style / comment fixes for your Minibatch kmeans branch.