002ff1237a
fix some warnings in test outputs.
2016-08-27 17:02:22 +02:00
19d6d925ed
[MRG+1] Fix for "_transform_selected" not copying when "selected='all'" ( #7201 )
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* 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
f893565773
[MRG+2] ENH: (minor) add quantile_low/high parameters to robust scaler ( #5929 )
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* 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
1dbc069cab
TST: Speed up: cv=2
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This is a smoke test. Hence there is no point having cv=4
2016-06-22 15:39:53 +02:00
055bc4c004
pep8
2016-06-22 02:10:41 -06:00
13f68c93b8
Simplifying imports and test
2016-06-17 17:44:51 -06:00
cc9dbac37f
Adding test for PR #6900
2016-06-17 17:28:36 -06:00
78a674875e
Correct the deprecation of the random_integers numpy function. ( #6712 )
2016-04-26 16:08:48 +02:00
08e1db4cd3
Test normalize function in data.py
2016-03-26 10:38:29 +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
3fa684db0e
add get_feature_names to PolynomialFeatures
2016-02-19 15:52:55 -05:00
6e87813550
Scaling a sparse matrix along axis 0 should accept a csc by default
2015-11-11 14:21:49 -05:00
de3a527905
Merge pull request #5692 from amueller/skip_32_bit_tests
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[MRG] Skip 32 bit tests that fail, skip doctests on 32bit
2015-11-05 10:33:33 -05:00
c55dc89902
Merge pull request #5695 from amueller/doc_fixes
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[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
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[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
2653833a07
DOC some fixes to the doc build.
2015-11-03 12:23:23 -05:00
776e53b127
skip unstable tests on 32bit platform
2015-11-02 15:21:22 -05:00
89f8a514c3
OneHotEncoder warn fix
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add regression test
2015-11-02 11:04:00 -08:00
718a7df4c5
Merge pull request #5449 from Jeffrey04/5433-MaxAbsScaler-1-row-csr-fix
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[MRG + 1] max abs scaler 1 row csr fix
2015-10-21 11:42:27 +02:00
e3afc0e8c9
MAINT move custom error/warning classes into sklearn.exceptions
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ENH NonBLASDotWarning -> EfficiencyWarning; Improve error message
DOC Add exceptions module to modules/classes.rst
MAINT Move ConvergenceWarning, UndefinedMetricWarning et al into exceptions
MAINT Remove ChangedBehaviorWarning from base
DOC/FIX Improve DataConversionWarning's docstring
2015-10-19 22:35:35 +02:00
2571158168
add test for inverse_transform
2015-10-19 23:29:09 +08:00
658129ac5b
updated test with tips from @giorgiop
2015-10-19 23:10:41 +08:00
e7a3675eaf
the test to reflect issue #5433
2015-10-19 19:29:00 +08:00
c7b1a6ebc3
BUG: reset internal state of scaler before fitting
2015-10-16 17:28:40 +02:00
4f4c3598e6
FIX dtypes to conform to the stricter type cast rules of numpy 1.10
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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
2f099334f9
MAINT deprecate 1d input arrays for all estimators
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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
26fbfe6f2e
ENH add minmax_scale
2015-07-01 23:27:35 +02:00
ab734b7a39
ENH add MaxAbsScaler
2015-06-11 16:08:17 +02:00
0b07536990
Merge pull request #4125 from untom/RobustScaler
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[MRG + 2] ENH RobustScaler
2015-05-26 18:02:41 -04:00
89c1018c64
ENH improve check_array
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ENH improve check_array to warn on dtype conversions
ENH make check_array accept several dtypes
ENH change validation with improved check_array
ENH change astype to avoid copy if possible
ENH remove warn_if_not_float
2015-05-19 16:13:42 +02:00
d86a629ac7
Added robust scaling example
2015-05-16 11:15:32 +02:00
dd2fdbb18c
Removed superfluous testcase for robust scaler
2015-05-16 01:50:56 +02:00
e5fb9dd5a4
Changed outdated test
2015-05-16 00:50:25 +02:00
4ff47d9efa
Fix documentation in test case
2015-05-15 23:51:17 +02:00
007ae76cb3
TST: covering norm='max' branches of normalize()
2015-05-08 14:20:54 -04:00
574ebfda85
Merge pull request #4436 from ogrisel/rebased-pr-3747
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[MRG+2] FIX make StandardScaler & scale more numerically stable
2015-03-23 11:12:32 -05:00
b596dfcfef
FIX test for older versions of numpy
2015-03-23 16:41:18 +01:00
04078be7da
FIX make StandardScaler & scale more numerically stable
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Detect common numerical stability problems in the standardization
routines and try simple mitigation strategies while alos issuing
a warning.
2015-03-23 14:32:33 +01:00
cd2ee7e454
MAINT docstring --> comments to prevent nose from using doc in verbose mode
2015-03-21 11:16:49 +05:30
ed47b5b744
Directly compute polynomial features.
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Polynomial features are computed by iterating over all combinations
of features. For each combination of features, the product of the
columns indexed by the combination is computed.
The fit method is now a no-op, and the transform method works with any
number of features (regardless of what fit was called with).
2015-03-18 13:07:15 +11:00
22f718dcce
ENH Added RobustScaler
2015-01-19 21:13:31 +01:00
48e72b5559
TST Add test to check if ValueError is raised if input contains NaN
2015-01-16 19:13:31 +05:30
731b50bed6
TST Add test to check if warning is raised for integer dtype-ed inputs.
2015-01-16 19:12:13 +05:30
d71c52929a
Handle_unknown option to OneHotEncoder
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OneHotEncoder fails with a error that is not helpful if a missing
categorical feature is present during transformation.
Add handle_unknown with an "error" and an "ignore" option.
2014-10-24 13:23:53 +02:00
cd7b43ccf9
TST make catch_warnings blocks more robust
2014-10-12 18:20:18 +02:00
52adb5cae7
ENH Add 'axis' argument to sparsefuncs.mean_variance_axis
2014-09-03 13:47:48 +02:00
b65e4c8d9d
FIX MinMaxScaler behavior on 1D inputs.
2014-07-13 18:35:21 +02:00
Andreas Mueller