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122 Commits

Author SHA1 Message Date
Andreas Mueller 952ef6637a MRG Drop legacy python / remove six dependencies (#12639) 2019-01-03 15:50:05 +02:00
Thomas Moreau d25da1be20 FIX make joblib utils private, and remove mentions of externals.joblib (#12345) 2018-11-20 10:53:52 +11:00
Matthew Roeschke 5af272ac61 MNT Remove unused variables (#12230) 2018-10-22 12:48:40 +11:00
Hanmin Qin 9b8fd0b0d0 DOC Correct default n_jobs & reference the glossary (#11808) 
Also improves the glossary entry for n_jobs.
 2018-08-18 19:57:10 +10:00
Olivier Grisel 40e6c43cb4
Joblib 0.12.2 (#11741) 
* joblib 0.12.2

* Export _joblib's register_parallel_backend

* Use latest version of coverage
 2018-08-03 12:34:25 +02:00
Joel Nothman 14e7c328df Restructure access to vendored/site Joblib (#11471) 
In order to fix #11408, this swaps `joblib` and `_joblib`. It however, allows users to access joblib's `Memory` or `Parallel` functionality without accessing `sklearn.externals._joblib` by importing `Memory`, `Parallel`, etc. into `sklearn.utils`.
 2018-07-17 18:02:11 +02:00
Nicholas Nadeau, P.Eng., AVS 3e26fc63be MAINT Fixing Typos (#11017) 2018-04-24 09:32:25 +10:00
Sebastin Santy 924a4661ee [MRG + 1] Too few arguments in formatting call (#9298) 
* Too few arguments in formatting call

* Add test

* Covered with tests
 2017-07-13 23:48:04 +02:00
Joel Nothman 4d37cf5862 COSMIT use zip instead of next in generator expression (#9281) 2017-07-05 17:44:06 +10:00
Joel Nothman 0d5d842d5c OneVsOneClassifier.partial_fit checks classes are valid subset (#9156) 2017-06-20 12:42:29 +10:00
Andreas Mueller b43c79163d FIX OvR/OvO classifier decision_function shape fixes (#9100) 
* fix OVR classifier edgecase bugs

* add regression tests for OVO and OVR decision function shapes
 2017-06-10 18:17:17 +02:00
Andreas Mueller 1c41368bac [MRG+1] Uncontroversial fixes from estimator tags branch (#8086) 
* some bug fixes.

* minor fixes to whatsnew

* typo in whatsnew

* add test for n_components = 1 transform in dict learning

* feature extraction doc fix

* fix broken test

* revert aggressive input validation changes

* in SelectFromModel, don't store threshold_ in transform. If we called "fit", use estimates from last "fit".

* move score from EllipticEnvelope to OutlierDetectionMixin

* revert changes to Tfidf documentation

* remove dummy input validation from whatsnew

* fix text feature tests

* rewrite from_model threshold again...

* remove stray condition

* fix self.estimator -> estimator, slightly more interesting test

* typo in comment

* Fix issues in SparseEncoder, add tests.
more explicit explanation of SparseEncoder change, add issue numbers to whatsnew

* minor fixes in whats_new.rst

* slightly more consistency with tuples for shapes

* not longer typo
 2017-06-06 16:34:47 +02:00
Guillaume Lemaitre e3c9ae204f [MRG+1] DOC improve description and consistency of random_state (#8689) 
* DOC improve description of random_state in train_test_split

* DOC Make random_state consistent through documentation

* FIX reverse doc mistake

* FIX address comment of Tom

* DOC address comments

* DOC remove empty line

* DOC remove unecessary white spaces
 2017-04-05 17:43:21 -07:00
Mikhail Korobov 3b1541b6bd [MRG + 3] OneVsRestClassifier: don't expose predict_proba and decision_function if base estimator doesn't support them (#7812) 
* OneVsRestClassifier: don't expose predict_proba and decision_function
  methods if they are not supported by base estimator.
* TST use nose-style asserts
* handle a case where classifier get predict_proba method only after .fit
 2016-11-07 14:12:15 +01:00
Srivatsan 9fd70a833c [MRG+2] Fix for OvR partial_fit bug (#7786) 
* mini-batch can now contain less number of classes than actual data

* added tests where mini batches doesn't contain all classes
 2016-11-06 08:27:42 +11:00
Russell Smith 54b0e4bf62 Add OneVs{One,All}Classifier._pairwise: fix for #7306 (#7350) 2016-09-20 13:46:45 +02:00
James Fiedler e4b837cc66 Removed unused imports 2016-07-29 19:30:23 -05:00
shanmuga cv 97e4232561 [MRG+1] Bug fix for OneVsOneClassifier - converted input to numpy array (#6626) 
* converted input to numpy array

* used check_x_y to validate X and y during fit

* test case modified to fit and predict OneVsOneClassifier on list

* Removed redundant `check_consistent_length` and accepted 'csc' and 'csr'
 2016-04-28 18:18:25 +02:00
practicalswift 549474de2e [gardening] Fix NameError ("estimator" not defined). Remove unused var "ind". 2016-03-20 22:48:25 +01:00
Gael Varoquaux 49330b6fa7 COSMIT: whitespace 
To finish off #6087
 2016-01-10 11:01:05 +01:00
kaichogami bd9716913e Made few tweaks based on commemnts 
changed docstring of partial_fit, added check_classification_target in ovo, removed classes parameter in _partial_fit_binary.
 2016-01-10 02:18:00 +05:30
kaichogami 604d54c348 Changed izip import statement, importing from six moudle 2016-01-08 00:49:27 +05:30
kaichogami 13016925af Removed joblib comment, made compatible for python3 
Removed the outdated comment about joblib overahead of thread spawining issue. Made izip compatible for both python2 and python3.
 2016-01-03 15:50:29 +05:30
kaichogami cdb9dba63e Added doc, tests 
Added test for partial_fit when mini-batch doesn't have all target classes. Changed doc for better explaination of the use of  paramter in partial_fit method. Used generator for passing of classes in OvO in Parallel processing instead of estimator.pop().
 2016-01-02 20:20:09 +05:30
kaichogami fb3574d719 Added partial_fit method for ovo and ovr 
FIX issue #4167 implementing online learning where base estimators have patial_fit method.
 2016-01-01 13:18:18 +05:30
Raghav R V 7e29af034b MAINT remove deprecated stuff that will no longer be supported in 0.18 2015-10-19 10:44:42 +02:00
Lars Buitinck 567a956338 Merge branch 'pr/4714' + pep8 fixes 
Conflicts:
	doc/modules/model_persistence.rst
	doc/modules/pipeline.rst
	doc/modules/svm.rst
	doc/tutorial/basic/tutorial.rst
	doc/tutorial/statistical_inference/supervised_learning.rst
	sklearn/svm/classes.py
 2015-06-08 11:31:51 +02:00
Andreas Mueller 6d4bcda876 ENH refactor OVO decision function, use it in SVC for sklearn-like decision_function shape 2015-06-05 13:14:45 -04:00
Andreas Mueller 0650d5502e DOC adding backlinks to docstrings 2015-06-03 00:24:04 -04:00
Andreas Mueller b9d8fd56a2 ENH support for sparse coef_ in ovr classifier 2015-05-15 20:26:38 -04:00
Andreas Mueller d89c215013 Add tags to classifiers and regressors to identify them as such. 2015-03-31 19:59:49 -04:00
Raghav R V 342e6e40bc COSMIT remove trailing whitespaces 2015-03-06 22:41:04 +05:30
Raghav R V b74b004d71 ENH Scale the sum_of_confidences to (-0.5, 0.5) 2015-03-06 22:41:04 +05:30
Raghav R V e20d1a4391 ENH decision_function now returns #votes and scaled scores. 
ENH use the decision_function to compute the prediction
TST Added test to assertain correlation of decision function and prediction
    Add test to check if ties are broken using decision function
    Add decision_function tests to check for votes/scores
    ovo_ties test will use decision function to calculate votes and score.
DOC Add entry to OvO's doc regarding how ties are broken
DOC Clean up the predict / decision_function methods' docstring.
PEP8 Minor PEP8 clean up.
 2015-02-09 14:39:11 +05:30
Kyle Beauchamp c2d2307391 Added feature to fix #1523 2015-02-09 14:39:11 +05:30
Raghav R V abd31d2cad MAINT Make uniform the error raised for not fitted condition 2015-01-12 00:33:40 +05:30
Javier López Peña 744614dfba Check if targets is a numpy array and convert it into one if it isn't 2014-11-30 11:26:38 +00:00
Mathieu Blondel b15df0d4aa Typo 2014-11-26 22:53:22 +09:00
Lars Buitinck b584ac47be FIX ovr predict_proba in the binary case 
Previous commit fixed the shape, but swapped the actual probabilities.
 2014-09-29 22:51:19 +02:00
Will Lamond 6e123c0661 Fixes ovr in the binary classifier case, and adds support for lists of feature arrays in the multiclass case. 2014-09-26 21:31:41 -04:00
Joel Nothman b3bdb08964 DOC fix formatting of attributes etc. in docstrings 2014-07-28 19:04:59 +10:00
Vlad Niculae 77c6c602ec FIX classes name in OvR 2014-07-21 00:31:38 +02:00
Gael Varoquaux 4ec86301e2 Merge pull request #3444 from arjoly/explain-default-score 
[MRG+1] ENH + DOC set a default scorer in the multiclass module
 2014-07-19 16:01:16 +02:00
Arnaud Joly 16870ffd46 ENH + DOC set a default scorer in the multiclass module 2014-07-19 15:13:23 +02:00
Arnaud Joly 0807e19dc2 MAINT deprecate fit_ovr, fit_ovo, fit_ecoc, predict_ovr, predict_ovo, predict_ecoc and predict_proba_ovr 2014-07-19 12:17:22 +02:00
Andreas Mueller eb2098f26f Closes #2360. Fix tiebreaking. 2014-07-18 16:48:08 +02:00
Vlad Niculae caff874850 DOC fix docstrings; add @hamsal to authors 2014-07-18 12:36:18 +02:00
Hamzeh Alsalhi 9f45e3730f Modified sparse OvR to handle sparse target data 
Defaulted label binarizer to set sparse_output=True when training ovr
classifiers, edited Label binarizer to allow for sparse binary column output
 2014-07-18 12:10:50 +02:00
Joel Nothman 51d4f75d06 FIX case where label is constantly absent 2014-06-23 11:53:46 -04:00
Joel Nothman fa76ac38ee FIX OvR with constant label for non-predict methods 2014-06-23 10:52:01 -04:00