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
f42cf8a2bc
MNT Replace kwargs by named args for resample ( #17324 )
2020-05-26 07:48:50 +10:00
192109af3d
MNT properly activate the env in the linting CI ( #17177 )
2020-05-10 13:22:55 -04:00
f703b85814
ENH Improves efficiency of ColumnTransformer for string keys ( #16431 )
2020-02-21 21:49:11 +01:00
418e0d55d3
[MRG] CLN Remove the use of assert_raises in utils/ ( #16337 )
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* CLN use pytest raises ctxt manager for class weights & estimators [skip ci]
* CLN use pytest raises ctxt manager for multiclass test
* CLN use pytest warns in estimator checks test
* CLN use pytest raises ctxt manager for random test
* CLN use pytest raises ctxt manager for sparsefuncs test
* CLN use pytest raises ctxt manager for testing utils tests
* CLN use pytest raises ctxt manager for utils tests
* CLN use pytest raises ctxt manager for validation tests
* revert test_estimator_check.py to upstream master
2020-02-02 14:44:19 +01:00
c45721d538
ENH check for invalid batch_size in gen_batches ( #16181 )
2020-01-27 09:24:50 +01:00
c4ea377198
FIX ensure object array are properly casted when dtype=object ( #16076 )
2020-01-14 18:06:50 -08:00
ad80d3159a
DEP Remove deprecated joblib tools in utils ( #15792 )
2019-12-06 13:59:46 +01:00
c311efd501
FIX accept pandas Index for feature_names in PDP ( #15639 )
2019-11-18 06:39:43 -06:00
7ea7861482
ENH Add support for dataframe in PDP ( #14028 )
2019-10-31 12:24:39 -04:00
19ad136223
MNT Replace DeprecationWarning with FutureWarning ( #15080 )
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* bruteforce renaming
* WIP
* WIP
* some more
* removed weird line
* update -Werror
* testiforest
* again
* Fixed some tests
* fixed some tests
* removed -Werror
* fixed test_docstring_param issue
* fixed some tests
* some more
* renamed to SklearnDeprecationWarning
* pep8
* updated docs
* pep8
* merge
* changed to FutureWarning
* fixes
* Update doc/developers/tips.rst
Co-Authored-By: Adrin Jalali <adrin.jalali@gmail.com>
* avoid duplicates
* fixed warning for deprecations
* Still make CI break if DeprecationWarning isn't caught
* updated one warning
* fixed test
* fixed some renamings
* updated new dep warnings
* fixed bad import
* ignore warnings
* update again
* ignore futurewarning when walking packages
* Fixed test
* pep8
* Added whatsnew
2019-10-29 15:39:26 +01:00
b92455a6b2
MAINT Deprecate all of utils.testing except all_estimators ( #15367 )
2019-10-28 17:28:56 +01:00
96c988cdde
MNT Make safe_indexing private ( #15104 )
2019-10-02 11:47:46 -04:00
dba753a200
API Auto generates deprecation for sklearn.utils.mocking ( #15071 )
2019-10-03 00:09:28 +10:00
ae5f55888b
[MRG] ENH add support for scalar, slice and mask in safe_indexing axis=0 ( #14475 )
2019-09-04 19:45:19 +10:00
992ed41ecc
FIX change boolean array-likes indexing in old NumPy ver… ( #14510 )
2019-08-02 10:46:16 -04:00
5f37ec1a99
ENH add parameter axis in safe_indexing to slice rows and columns ( #14035 )
2019-07-03 07:59:35 +10:00
f3eb9d2206
[MRG] MNT removing assert_equal, etc -- continued ( #14232 )
2019-07-02 14:53:51 +10:00
19c068a2ec
MNT towards removing assert_equal, etc ( #14222 )
2019-07-01 09:13:32 -04:00
14bdb9d7a8
FEA Add a stratify option to utils.resample ( #13549 )
2019-04-24 23:16:38 +02:00
8edd9f9f15
ENH Add verbose option to Pipeline, FeatureUnion, and ColumnTransformer ( #11364 )
2019-04-22 00:51:21 +10:00
0e3bb17e62
MAINT Run pyupgrade following Python2 deprecation ( #12997 )
2019-02-08 20:13:34 +08:00
d25da1be20
FIX make joblib utils private, and remove mentions of externals.joblib ( #12345 )
2018-11-20 10:53:52 +11:00
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
0f94f2962b
MNT simple deprecations and removals for 0.21 ( #12238 )
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Part of #11992 .
These were all the things that seemed pretty straight-forward. It's actually a bit bulky but should still be easy to review, hopefully.
2018-10-11 14:56:37 -04:00
74b56dbc57
MNT Converting http to https ( #12277 )
2018-10-04 22:37:57 +08:00
0d8a04bd17
[MRG+1] SimpleImputer(strategy="constant") ( #11211 )
2018-06-20 17:20:33 +02:00
ef8d22af7c
ENH Add working_memory global config for chunked operations ( #10280 )
2018-05-25 12:04:05 +10:00
682e85fb1a
Fix safe_indexing with read-only indices ( #9507 )
2017-08-08 10:21:09 +02:00
738053e657
[MRG+2] MAINT: no longer backport graph_laplacian, use scipy one ( #9077 )
2017-06-09 16:23:55 +02:00
bd0fc236e0
[MRG+1] MAINT drop SciPy < 0.13 ( #8854 )
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Remove sklearn.utils.fixes functions that are not needed for scipy >= 0.13 and keep deprecated wrappers in other modules.
2017-06-02 23:36:33 +02:00
e4b837cc66
Removed unused imports
2016-07-29 19:30:23 -05:00
6ce198c78f
[MRG] #6581 n_samples of utils.resample can be more when replace is True
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* #6581 n_samples can be more when replace is True
* more compact code
2016-04-02 08:58:40 +02:00
8ff339eb5b
Update test_utils.py
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Comment instead of docstring to follow sklearn convention.
Regression test made easier by adding small value to main diagonal of s.p.d. matrix
2015-10-23 08:57:31 +02:00
6cb51b2a28
Initialize ARPACK eigsh
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`v0 = random_state.rand(M.shape[0])` leads to an initial residual vector in ARPACK which is all positive. However, this is not the absolute or squared residual, but a true difference. Thus, it is better to initialize with `v0=random_state.uniform(-1, 1, M.shape[0])` to have an equally distributed sign. This is the way that ARPACK initializes the residuals.
The effect of the previous initialization is that eigsh frequently does not converge to the correct eigenvalues, e.g. negative eigenvalues for s.p.d. matrix, which leads to an incorrect null-space.
- initialized all occurences of sklearn.utils.arpack.eigsh the same way it would be initialzed by ARPACK
- regression test to test behavior of new initialization
2015-10-23 08:57:30 +02:00
990a6b402f
FIX n_jobs slicing bug in dict learning, add input validation to gen_even_slices
2015-05-20 15:29:25 -04:00
f11f5c849e
TST don't check that warning was raised as whether a copy needs to be made or not depends on the pandas version. Version 0.12 and 0.13 apparently don't use cython here, and >0.17 will have a fix.
2015-05-13 09:52:54 -04:00
cdfaabfa0b
FIX work-around for read only dataframes
2015-05-05 19:26:35 -04:00
e12863f103
FIX make shuffle / resample pass-through indexing utilities
2015-04-10 16:11:22 -04:00
cd2ee7e454
MAINT docstring --> comments to prevent nose from using doc in verbose mode
2015-03-21 11:16:49 +05:30
2666b702d2
TST stronger test_shuffle_on_ndim_equals_three
2014-09-25 19:37:35 +02:00
766fb56ec0
FIX allow ndim>2 in shuffle
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Fixes #3694 .
2014-09-25 19:29:44 +02:00
b080d93b5e
ENH don't convert dataframes in grid search and cross-validation
2014-07-18 10:02:14 +02:00
5fe7c2ca2f
add test for safe_indexing, add another test for cross_val_score
2014-07-16 11:31:41 +02:00
d8f90d137d
use column_or_1d, move it to utils
2013-07-26 17:16:27 +02:00
f4a4016d14
Cloned @jakevdp's pinvh tests
2012-09-04 19:58:47 +01:00
776b060098
@jakevdp's version of pinvh
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speed up symmetric_pinv
2012-09-04 19:58:46 +01:00
4a5a1d6d84
Compute pseudoinverse using eigendecomposition
2012-09-04 19:58:46 +01:00
ad8e4912cb
TST: use assert_true instead of assert + remove some relative imports
2012-02-11 15:43:03 +01:00
Thomas J. Fan
Hanmin Qin