6972d6c15c
DOC minor doc fixes for sphinx. ( #7357 )
2016-09-08 10:07:40 +10:00
19d6d925ed
[MRG+1] Fix for "_transform_selected" not copying when "selected='all'" ( #7201 )
...
* fixes issue scikit-learn/scikit-learn#7194
* Added test
* Making `selected='all'` explicit on test
* Updated whats_new.rst
* Fixed typo on `whats_new.rst`
2016-08-18 11:47:00 +02:00
02806e9782
cosmit
2016-08-13 11:03:59 +02:00
f893565773
[MRG+2] ENH: (minor) add quantile_low/high parameters to robust scaler ( #5929 )
...
* add quantile_low/high parameters to robust scaler
add versionadded tags
* robust scaler: add parameter for quantile_range, check its validity
* robust scaler: simplify params validations
fix typo in docstrings of RobustScaler
* preprocessing.data fix some lines > 80 columns
* add whatsnew for robust scaler quantile_range param
add missing url link in whatsnew
2016-08-13 10:32:16 +02:00
8034b2926e
more examples references
2016-08-03 20:23:50 +02:00
055bc4c004
pep8
2016-06-22 02:10:41 -06:00
2242b1b2ea
Make KernelCenterer a _pairwise operation
...
Replicate solution to 9a520779c2
2016-06-16 22:49:36 -06:00
a2498218ac
DOC cross-reference preprocessing estimators and functions in their docstrings
2016-05-10 11:00:41 +02:00
45ff64bdec
type echecking before comparison, to avoid warning of multiple comparison ( #6615 )
2016-04-11 17:52:42 +02:00
acdaeaf5dd
Merge pull request #6606 from tkamishima/tkamishima_one_hot_encoder_parameter_checking
...
[MRG] type checking before comparison, to avoid warning messages, in preprocessing.OneHotEncoder
2016-03-31 22:33:55 +02:00
d574a03497
type checking before comparison, to avoid warning messages
...
If np.array is pssed as a parameter 'n_values', warning of multiple comparison is printed. This patch avoid this problem.
2016-03-31 01:09:15 +09:00
9b7176dd9d
[DOC] Fix broken links
2016-03-23 12:45:34 -07:00
7895d38ca6
Merge pull request #6372 from amueller/poly_feature_names
...
[MRG+2] add get_feature_names to PolynomialFeatures
2016-02-25 11:55:03 -08:00
8fb928d644
fixed doc for powers, added test
2016-02-24 17:08:15 -05:00
897f8b6cc6
don't do ^1
2016-02-22 15:09:47 -05:00
ddc1740207
fix PolynomialFeatures.powers_ in python 0.16.1
2016-02-19 15:53:37 -05:00
3fa684db0e
add get_feature_names to PolynomialFeatures
2016-02-19 15:52:55 -05:00
140a5acda8
MAINT depr of center_data, normalize in linear_model
2016-02-17 14:26:50 -05:00
0485ada58b
General spelling fixes
2015-12-16 09:46:42 -08:00
fb123ed24b
More doc fixes. Latex builds again.
2015-11-20 16:30:45 -05:00
6e87813550
Scaling a sparse matrix along axis 0 should accept a csc by default
2015-11-11 14:21:49 -05:00
f2e35411fa
Added more versions of 0.17
2015-11-04 00:02:52 +01:00
2249daaea8
Version added for all new classes
2015-11-03 23:54:42 +01:00
468b4c15b3
Version Added for Robust Scaler
2015-11-03 23:48:23 +01:00
c55dc89902
Merge pull request #5695 from amueller/doc_fixes
...
[MRG] DOC some fixes to the doc build.
2015-11-03 15:24:56 -05:00
e2eba1ffbc
Merge pull request #5688 from amueller/robust_scaler_1column_fix
...
[MRG+2] fix 1 sparse row scaling in robust scaler
2015-11-03 14:06:26 -05:00
61df16e0e9
fix 1 sparse row scaling in robust scaler
2015-11-03 14:03:09 -05:00
f7e886a885
Merge pull request #5682 from trevorstephens/OneHotEncoder_warn_fix
...
[MRG + 1] OneHotEncoder warn fix - fixes #5671
2015-11-03 19:26:08 +01:00
2653833a07
DOC some fixes to the doc build.
2015-11-03 12:23:23 -05:00
1e23805861
DOC: Correct confusing docs of n_values in OneHotEncoder
2015-11-02 15:19:33 -05:00
89f8a514c3
OneHotEncoder warn fix
...
add regression test
2015-11-02 11:04:00 -08:00
f24d94aec4
remove test for self.scale_
2015-10-20 10:59:10 +08:00
9da9b581a4
add fix for inverse transform
2015-10-19 23:29:38 +08:00
23e39871a8
fixing MaxAbsScaler according to MinMaxScaler
2015-10-19 23:11:20 +08:00
3f86d68f71
code fix for issue #5433
2015-10-19 19:30:29 +08:00
008adf11ad
Merge pull request #5375 from rvraghav93/set_precision
...
[MRG + 2] FIX precision to float64 across the codebase
2015-10-19 11:02:04 +02:00
96f587a4f2
DOC cosmit I find it confusing to say that fit resets the estimator, at it always does that.
2015-10-16 11:48:25 -04:00
c7b1a6ebc3
BUG: reset internal state of scaler before fitting
2015-10-16 17:28:40 +02:00
a87011262a
FIX precision to float64 across the codebase
2015-10-16 11:20:29 +02:00
c66689c4f4
FIX Don't compare arrays to strings!!!!
2015-10-15 16:07:17 -04:00
21fab6e8ec
FIX Move validation from helper to main function
2015-10-15 18:21:51 +02:00
4f4c3598e6
FIX dtypes to conform to the stricter type cast rules of numpy 1.10
...
FIX set copy to (copy & whiten).
FIX/DOC Use float outputs for doctest
2015-10-15 18:21:51 +02:00
6a5a2f7960
partial_fit for scalers
2015-10-13 11:37:00 +02:00
250507ffa6
FIX deprecation message for 1d data
2015-09-10 09:55:35 +02:00
2f099334f9
MAINT deprecate 1d input arrays for all estimators
...
Passing 1D arrays to check_array, without setting `ensure_2d` to false now
raises a deprecation warning before reshaping it. This will later throw an
error.
All Scaler classes also throw warnings when 1D arrays are passed.
All unit tests/doctests are modified to ensure that no 1D arrays are passed,
except in explicit 1D array tests where the warnings have been silenced.
Additional tests are also included which check for different 1D array cases.
2D array tests with one samples and one features are also added and where
they failed, `check_array` call has been modified to give a more useful error
message
2015-09-09 15:49:58 +02:00
e7e22d1e55
DOC Improve wording in minmax_scale documentation
2015-07-05 18:51:55 +02:00
26fbfe6f2e
ENH add minmax_scale
2015-07-01 23:27:35 +02:00
dc8578ae41
Merge pull request #4828 from untom/maxabs_scaler
...
[MRG] add MaxAbsScaler
2015-06-12 05:17:07 +10:00
87aaabc06a
DOC backticks in attribute docstrings unnecessaru since #3489
2015-06-12 05:13:02 +10:00
ab734b7a39
ENH add MaxAbsScaler
2015-06-11 16:08:17 +02:00
Andreas Mueller