76d763be80
DOC added to preprocessing docstring examples ( #11752 )
2018-08-07 15:24:05 +03:00
3a0b009804
don't use nextafter to define eps ( #11611 )
2018-07-24 11:09:46 +02:00
adddf00433
[MRG] np.ones -> np.full ( #11628 )
2018-07-23 09:49:01 +02:00
61547de6b7
ENH KBinsDiscretizer : inverse_transform for ohe encoder ( #11505 )
2018-07-21 11:57:51 +08:00
2d232acdeb
[MRG] Add Yeo-Johnson transform to PowerTransformer ( #11520 )
2018-07-20 22:32:12 +02:00
5592a2eda9
[MRG] PyPy support for all but a couple of estimators ( #11010 )
2018-07-20 14:39:53 +10:00
b9330d96c9
pep8 whoops
2018-07-17 17:00:41 -05:00
8e2c2aa35d
raise DeprecationWarnings and FutureWarnings as errors ( #11570 )
...
Towards #11252 .
In the end we'd like to make these errors so we can keep this cleaner in the future.
2018-07-17 15:31:45 -05:00
61fa3155da
[MRG] Add get_feature_names to OneHotEncoder ( #10198 )
...
**Reference Issues/PRs**
Fixes #10181
**What does this implement/fix? Explain your changes.**
Added function **get_feature_names()** to **CategoricalEncoder** class. This is in `data.py` under `sklearn.preprocessing`
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2018-07-16 15:02:49 -05:00
b25e222328
MNT misc sphinx website build fixes and dead links ( #11532 )
2018-07-16 09:13:20 +08:00
7636606f47
Merge branch 'discrete' ( #9342 )
2018-07-12 10:27:35 +10:00
Hanmin Qin
e4089d1ea2
[MRG] ENH Remove ignored_features in KBinsDiscretizer ( #11467 )
2018-07-11 22:55:28 +02:00
a2b56453e2
ENH Passthrough DataFrame in FunctionTransformer ( #11043 )
2018-07-10 17:48:03 +08:00
Hanmin Qin
d1e26155e1
Merge branch 'master' into discrete
2018-07-10 10:02:46 +08:00
bb719e188c
Move _transform_selected helper to base.py
2018-07-10 09:52:25 +10:00
e4d18845c3
preprocessing.discretization -> preprocessing._discretization
2018-07-10 09:47:20 +10:00
40d1f00c82
Merge branch 'master' into discrete
2018-07-10 09:46:03 +10:00
5a61af94e2
[MRG+2] Implement two non-uniform strategies for KBinsDiscretizer (discrete branch) ( #11272 )
2018-07-10 09:29:56 +10:00
f8adfa27ae
[MRG] Ignore and pass-through NaNs in RobustScaler and robust_scale ( #11308 )
2018-07-05 16:34:31 +02:00
0b0bd9b369
[MRG] Use hashtable (python sets/dicts) for object dtype data in Encoders ( #10209 )
2018-07-03 09:51:07 +02:00
5a9ce9fe3f
CI fix scipy-dev build for good ( #11377 )
...
Also add commit flag [scipy-dev] to run scipy-dev build in Travis, which is very useful in a PR
to make sure that the scipy-dev passes.
2018-06-28 16:49:51 +02:00
e93cde5739
FIX OneHot/OrdinalEncoder: correctly coerced dtype of passed categories ( #11347 )
2018-06-28 09:36:44 +10:00
f43dd0e650
ENH Ignore and pass-through NaN values in MaxAbsScaler and maxabs_scale ( #11011 )
2018-06-23 19:15:01 +10:00
c1bc665958
ENH ignore NaNs in PowerTransformer ( #11306 )
2018-06-22 08:22:24 +10:00
5718466bb5
[MRG] ENH: Ignore NaNs in StandardScaler and scale ( #11206 )
2018-06-21 15:48:38 +02:00
007aa710bd
FEA Refactor CategoricalEncoder into OneHotEncoder and OrdinalEncoder ( #10523 )
...
Deprecated some OneHotEncoder behaviour
2018-06-21 19:27:41 +10:00
e86191448b
FIX lazy merge
2018-06-14 20:37:05 +02:00
7caf1782dd
FIX new parameter dtype after merging master
2018-06-14 18:29:18 +02:00
e2b6240310
Merge branch 'master' into 9342
...
Conflicts:
sklearn/preprocessing/data.py
sklearn/preprocessing/tests/test_data.py
2018-06-14 18:06:29 +02:00
a4f8e3d2a2
FIX: enforce consistency between dense and sparse cases in StandardScaler ( #11235 )
2018-06-14 19:18:39 +10:00
4272bbad0c
[MRG] EHN ignore nan in minmax_scale ( #11243 )
2018-06-12 15:09:16 +02:00
e8d8b8eeb0
TST: parametrize unit tests ( #11074 )
...
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
b9f3758dfd
MAINT add function to ignore nan in min/max sparse functions ( #11196 )
2018-06-07 06:57:30 +10:00
a6028fc059
BUG: Ensure OneHotEncoder outputs sparse matrix with given dtype ( #11042 )
2018-06-06 10:59:27 +02:00
7f29f1561f
Whitespace
2018-06-04 22:24:17 +10:00
f737fe6af3
Merge branch 'master' into discrete
2018-05-30 12:56:45 +10:00
13c235359a
ENH MultiLabelBinarizer ignore unkown class in transform ( #10913 )
2018-05-06 21:06:09 +08:00
96a02f3934
[MRG+1] TST cover sparse matrix case for passing through NaN in transformer ( #11012 )
2018-04-27 08:02:39 +10:00
3e26fc63be
MAINT Fixing Typos ( #11017 )
2018-04-24 09:32:25 +10:00
f1aedf661a
[MRG+1] NaN handling MinMaxScaler ( #11005 )
2018-04-21 22:49:36 +02:00
c3548a8e29
[MRG] EHN handle NaN value in QuantileTransformer ( #10437 )
2018-04-21 19:06:10 +02:00
2b1c5ef285
DOC Update an outdated docstring from sklearn.preprocessing.RobustScaler ( #10940 )
2018-04-09 21:30:18 +08:00
20661b5018
TST: only run doctests on numpy 1.14. ( #10835 )
...
Fix doctests due to numpy 1.14 formatting changes.
2018-03-27 07:44:40 +02:00
b43fce5a49
MNT Add sklearn.compose and move TransformedTargetRegressor to it ( #10719 )
2018-03-16 21:27:03 +08:00
eed83790b0
ENH Change default gamma from 'auto' to 'scale' in SVC ( #10331 )
2018-03-10 10:39:21 +08:00
986cbda477
DOC: fix typo in StandardScaler docstring ( #10779 )
2018-03-08 15:59:41 +01:00
a97e78b01a
[MRG] MAINT: remove even more old scipy related code ( #10721 )
2018-03-01 07:52:10 +11:00
55da79f5fd
[MRG] MAINT: remove old scipy LBFGS scipy related code ( #10716 )
2018-02-28 09:00:34 +11:00
71b29acbfb
[MRG+2] Moves Imputation out of Preprocessing ( #10483 )
2018-02-15 06:47:06 +11:00
Hanmin Qin
98eb09e920
Revert #10558 Deprecate axis parameter in imputer ( #10635 )
2018-02-14 18:55:03 +08:00
Adrin Jalali
Hanmin Qin