76f2479e2f
Fix typo in docstring for GaussianMixture. ( #17998 )
2020-07-26 15:27:09 +02:00
7cc0177f8e
MNT Replaces numpy alias with builtin typse ( #17687 )
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* MNT Replaces numpy alias with builtin typse
* STY Lint error
2020-06-24 16:51:51 +02:00
d8be25f65c
DOC fixes default values documentation in sklearn/mixture module ( #17476 )
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* fixes default values documentation in sklearn/mixture
* sklearn/mixtures extra changes to doc
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
2020-06-06 19:14:15 -04:00
4eca61b629
DOC Standardize formatting for default values ( #17509 )
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Co-authored-by: Amanda Dsouza <adsouza41@gatech.edu>
2020-06-06 17:00:59 -04:00
a0a23d2e3a
DOC Adds GaussianMixture and BayesianGaussianMixture examples ( #15193 )
2020-05-22 14:28:24 -04:00
02309ffbda
API kwonly args in manifold, metrics, mixture, model_selection, multclass, multioutput ( #16982 )
2020-04-24 17:24:24 -04:00
75d3f29e72
MAINT Remove outdated numpy and scipy backports ( #16725 )
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* Remove unecessary numpy & scipy backports
* More fixes
* Remove unused imports
2020-03-20 13:57:18 +01:00
438bb3a438
MNT Remove unused imports ( #16665 )
2020-03-11 10:01:51 +11:00
d205638475
MNT Introduction of n_features_in_ attr with _validate_data mtd ( #16112 )
2020-02-29 09:05:11 -05:00
9b39c4c4d2
TST Fix unreachable code in tests ( #16110 )
2020-02-16 14:41:26 +01:00
06b1a19465
[DOC] Make random_state descriptions for Mixture Models ( #16307 )
2020-01-30 17:40:05 +01:00
2de018bf6e
DOC Fix some new sphinx warnings. ( #15560 )
2019-11-07 16:35:31 -05:00
c4545aa823
DOC fixed typos in mean_precision_prior in _bayesian_mixture ( #15501 )
2019-11-06 13:24:57 +01:00
b92455a6b2
MAINT Deprecate all of utils.testing except all_estimators ( #15367 )
2019-10-28 17:28:56 +01:00
4a95e33e63
MNT Make modules private in sklearn.datasets ( #15307 )
2019-10-27 17:17:23 -04:00
0f157e9475
ENH Minor update to error message from check_is_fitted ( #15357 )
2019-10-27 13:06:34 +01:00
6ac9dc4878
MNT make the modules in sklearn.mixture private ( #15166 )
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* renaming
* renamed some imports
* added test and gitignore
2019-10-16 19:16:26 +02:00
14f5302b70
DOC Link items explictly ( #14817 )
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* DOC Link items explictly
* STY
* DOC Link another
2019-09-05 11:37:05 +02:00
92af3dabbb
MAINT simplify check_is_fitted to use any fitted attributes ( #14545 )
2019-08-13 22:09:07 +02:00
19c068a2ec
MNT towards removing assert_equal, etc ( #14222 )
2019-07-01 09:13:32 -04:00
5674122c97
MAINT More test runtime optimizations ( #14136 )
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* Feature extraction / feature selection
* Metrics, manifold, impute, GP optimization
* Optimize mixture
* Optimize model_selection
* Fix tests
* Lint
2019-06-22 10:44:06 +03:00
b3030f046f
minor fix in gaussian_mixture.py ( #14120 )
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This was working, since `'full' in 'full'`, but for clarity and accident-avoidance it's probably better to use `==`.
2019-06-20 08:26:04 +10:00
3373e9c125
Fixed documentation for mean_precision_prior. Smaller->Larger ( #13764 )
2019-05-05 08:24:01 +01:00
3a47124205
[MRG] Fix GaussianMixture fit_predict != fit.predict when n_init > 1 ( #13142 )
2019-02-25 07:57:35 +01:00
0e3bb17e62
MAINT Run pyupgrade following Python2 deprecation ( #12997 )
2019-02-08 20:13:34 +08:00
c2d56a6c8f
DOC change from 'means_prior' to 'mean_prior' in BayesianGaussianMixture ( #13090 )
2019-02-04 23:07:29 +08:00
62d2059804
MNT remove __future__ imports ( #12791 )
2019-02-02 22:05:06 +08:00
d300f406ae
MAINT Simplify super() calls ( #12812 )
2019-01-10 22:27:06 +01:00
952ef6637a
MRG Drop legacy python / remove six dependencies ( #12639 )
2019-01-03 15:50:05 +02:00
Hanmin Qin
bfc4a56642
MNT Duplicate import
2018-11-14 20:34:40 +08:00
Hanmin Qin
43e3a02085
MNT Remove unused assert_true imports ( #12560 )
2018-11-11 11:08:37 +08:00
362cb3bcab
TST autoreplace assert_true(...==...) with plain assert ( #12547 )
2018-11-11 09:05:34 +08:00
036dfdde21
Fix inconsistent labels returned by BayesianGaussianMixture.fit_predict ( #12451 )
2018-11-04 00:56:50 +11:00
e50fc2af94
TST Fix test gaussian mixture warm start ( #12452 )
2018-10-25 13:58:22 +02:00
63e5ae6319
TST Use same random seeds for both GaussianMixture.fit ( #12307 )
2018-10-07 11:13:32 +02:00
1e052e9da9
Converting http to https (2)... ( #12292 )
2018-10-04 23:06:14 +02:00
adddf00433
[MRG] np.ones -> np.full ( #11628 )
2018-07-23 09:49:01 +02:00
beb2aa0395
[MRG+1] Fix lower_bound_ not equal to max lower bound in mixture models when n_init > 1 ( #10870 )
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* Set lower_bound_ to max lower bound at the end of BaseMixture.fit(), fixes #10869
* Use a local lower_bound variable rather than self.lower_bound_ during training, in BaseMixture.fit()
* Remove extra empty line
* Update documentation and reduce test_init() iterations from 100 to 25
* Update whats_new/v0.20.rst to add mention of issue 10869, and reformat file to fit on 80 columns
* Remove extra line in whats_new/v0.20.rst
* Add tests for convergence detection in Gaussian mixtures when warm_start=True
* Remove unnecessary catch_exception blocks
* Fix tests since n_iter_ was recently fixed to be increased by 1
* Revert changes unrelated to PR 10870 in doc/whats_new/v0.20.rst
* Replace assert_* with plain asserts because of the move to pytest
* Remove comment in whats_new/v0.20.rst that will be added upon merging
* Replace single backticks with double backticks in doc string
* Limit is 79 characters per line, not 80.
* Remove the false convergence fix to treat it in a separate PR
2018-07-16 14:47:07 +02:00
c303ed8ef2
ENH adding fit_predict to mixture models ( #11281 )
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Fixes #10336
2018-07-03 12:43:26 +10:00
eec7649236
MAINT Complete 0.20 deprecations ( #9570 )
2018-06-24 23:06:26 +10:00
14764061f8
[MRG] DOC fix some sphinx warnings ( #11241 )
2018-06-21 20:43:21 +10:00
e8d8b8eeb0
TST: parametrize unit tests ( #11074 )
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yield tests are deprecated in pytest and will be removed in pytest 4.0.
They all have been replaced by parametrize.
2018-06-08 14:59:33 +02:00
a38067093f
[MRG+1] FIX make n_iter_ being the number of iteration performed ( #11015 )
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*
2018-04-24 07:24:53 +10:00
20661b5018
TST: only run doctests on numpy 1.14. ( #10835 )
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Fix doctests due to numpy 1.14 formatting changes.
2018-03-27 07:44:40 +02:00
9920bf98da
Remove dp-derivation.rst. ( #10857 )
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sklearn.mixture.dpgmm.py is deprecated and will be removed in version 0.20.
2018-03-22 16:09:27 +01:00
58f84694a8
DOC Add reference to the glossary in the warm_start parameter description of public APIs ( #10699 )
2018-02-26 20:21:17 +08:00
c3bdc0a89a
DOC clean up assorted type specifications ( #10441 )
2018-01-11 09:11:17 +11:00
b939b5a29a
FIX missing return in deprecated function
2017-10-10 09:57:08 +11:00
45dc891c96
[MRG+2] Clean common tests ( #9340 )
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* rm dupes
* add check_supervised_y_no_nan in classifier checks: this implies changes for Ridge classifiers
* fix docstrings/comments
* FIX check fitting 1d X array raises error and FIX check fitting 2d array with only 1 feature either works or returns informative message
* modify check_fit2d_1sample in common tests so that it checks fitting either works or returns an informative message
* rm SpectralClustering case for the moment
* uniformize error messages for 1 sample case and fix SpectralClustering with ensure_min_samples=2
* add unit test for mean_shift when n_samples * quantile < 1
* FIX travis with ensure_min_samples=2 in _PLS
* try fix for failing tSNE test
* typos
* take @agramfort's review into account
* sc to fix string in gaussian_process
* add the class that is present to preserve information of previous message in gpc.py
2017-09-26 18:13:15 +02:00
Hanmin Qin
32ac22870d
[MRG+1] Fix warnings in lgtm.com (remove redundant code) ( #9719 )
2017-09-14 11:42:58 +02:00
Rob Romijnders
Hanmin Qin