7dbe3a895f
Fix robust_scaling test
2015-05-16 11:45:47 +02:00
d86a629ac7
Added robust scaling example
2015-05-16 11:15:32 +02:00
4c6ad90d2a
Remove interquartile_scale parameter
2015-05-16 11:13:31 +02:00
c296e4961e
Fixed removal of copy-parameter
2015-05-16 01:50:42 +02:00
9ffd954ea6
Fixed decprecation warning
2015-05-16 00:50:05 +02:00
6aefa534e5
Improved documentation of robust scaler
2015-05-16 00:49:47 +02:00
29e8377e19
Export robust_scale and RobustScaler
2015-05-16 00:08:37 +02:00
e5957928d3
Remove 'copy' parameter form RobustScaler functions
2015-05-15 23:48:34 +02:00
f7ca553d00
Remove warn_if_not_float
2015-05-15 23:47:10 +02:00
50c0a8d531
Fix documentation errors.
2015-05-15 23:46:38 +02:00
5fcad7cc67
Fixing sparse max for older scipy
2015-05-08 15:13:27 -04:00
84ee88db79
DOC: updating Normalizer docstring for norm='max'
2015-05-08 14:22:55 -04:00
9e710ed843
WIP: adding 'max' normalizer to normalize()
...
This still needs tests and doc updates.
2015-04-23 12:58:17 -04:00
04078be7da
FIX make StandardScaler & scale more numerically stable
...
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
ed47b5b744
Directly compute polynomial features.
...
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
555b859041
Fix #4351 . Rendering of docs in MinMaxScaler.
2015-03-06 12:38:05 -05:00
67dcd99d82
TST fix tests with numpy 1.6.1
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np.bincount raises an Exception with empty input arrays for numpy versions < 1.6.2
Add utils.fixes.bincount to tackle this issue and use it instead of np.bincount
2015-02-01 15:49:49 +01:00
bf8cfb6ff6
Check if parameters are fitted
2015-01-20 08:05:05 +01:00
22f718dcce
ENH Added RobustScaler
2015-01-19 21:13:31 +01:00
b3fbccca38
FIX various mismatch between docstring and signature params
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DOC max_iterations -> max_iter. Make it consistent with kmeans
MAINT Replace the deprecated dx parameter with d in the docstrings
MAINT Deprecation warning for max_iterations parameter.
2015-01-16 11:54:57 -05:00
78233b2d05
FIX scale - Raise ValueError when input contains non finite values.
2015-01-16 19:07:27 +05:30
87a823c7c7
Fix a typo in OneHotEncoder's docstring
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were --> where.
2015-01-12 14:04:29 -05:00
abd31d2cad
MAINT Make uniform the error raised for not fitted condition
2015-01-12 00:33:40 +05:30
72db6aeb62
DOC: Make the comment slightly clearer
2014-10-25 10:53:33 +02:00
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
52adb5cae7
ENH Add 'axis' argument to sparsefuncs.mean_variance_axis
2014-09-03 13:47:48 +02:00
b3bdb08964
DOC fix formatting of attributes etc. in docstrings
2014-07-28 19:04:59 +10:00
be08122e04
DOC Fix example path
2014-07-21 18:42:23 +10:00
c235c3b566
ENH add allowed_sparse named argument for @ogrisel
2014-07-20 15:31:28 +02:00
6e2a83b4e1
remove check_arrays stuff and old input validation
2014-07-20 13:31:45 +02:00
b65e4c8d9d
FIX MinMaxScaler behavior on 1D inputs.
2014-07-13 18:35:21 +02:00
9e56b2b469
DOC more explicit docstring for preprocessing.normalize
2014-07-08 17:31:39 +02:00
67b8601314
Minor fixes in the docs
2014-06-07 16:38:53 +02:00
de42d692d8
ENH interaction_only in PolynomialFeatures
2014-06-05 17:46:07 +02:00
f4251347af
ENH/DOC fix poly features complexity
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Fixes #3191 , #3194 .
2014-06-05 17:45:32 +02:00
325e998fcc
Extend utils.sparsefuncs: inplace scale and axis min/max
2014-05-18 20:03:37 +10:00
bbb8f1d1bf
Moved sparsefuncs to sparsefuncs_fast
2014-03-27 13:20:45 +05:30
0abe21eaac
MAINT remove some deprecated stuff
2014-03-12 13:33:42 +01:00
276e260486
ENH add sparse parameter to OneHotEncoder
2014-03-01 17:21:24 +01:00
0a488ff642
FIX OneHotEncoder: check value max when n_values is integral
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Fixes #2839 .
2014-02-27 22:10:55 +01:00
aa53f80f61
DOC what we call poly features are called interaction features in stats
2014-02-27 21:36:30 +01:00
6610b3da5d
Fix documentation
2014-02-04 23:12:10 +01:00
17d77ee04f
Fix typo
2014-02-04 21:44:33 +01:00
0852a54f7f
Add example with polynomial regression
2014-02-02 18:50:48 +01:00
c94ea6a570
ENH use fast row_norms helper in preprocessing.normalize
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Also makes memory usage independent of n_features.
2013-12-05 15:11:59 +01:00
f372e126c0
fix ordering & docs of PolynomialFeatures
2013-11-15 08:10:15 -08:00
4c00042f33
reorder polynomial features
2013-11-14 16:59:21 -08:00
ecdedd5a4f
DOC: adjust notes in PolynomialFeatures
2013-11-13 13:40:04 -08:00
2983ab900b
TST: fix doctests & pep8
2013-11-13 04:44:19 -08:00
217834b9cb
TST: fix PolynomialFeatures test error
2013-11-13 04:26:14 -08:00
d071ef17e8
address PR2585 comments
2013-11-12 11:47:44 -08:00
568c43d6f3
ENH: add PolynomialFeatures preprocessor
2013-11-11 17:18:16 -08:00
0c82974f7c
FIX/ENH make StandardScaler convert int input to float and warn about it, instead of warning and rounding for dense and crashing for sparse.
2013-07-27 15:19:32 +02:00
d8f90d137d
use column_or_1d, move it to utils
2013-07-26 17:16:27 +02:00
f713996882
pyflakes and pep8
2013-07-26 17:08:59 +02:00
9cb320dd6d
Imp move OneHotEncoder to preprocessing/data.py
2013-07-26 17:08:59 +02:00
15984d9a55
Del unused imports in preprocessing + pep8
2013-07-26 17:08:58 +02:00
ec6057a384
Imp splitting of preprocessing.py
2013-07-26 17:08:58 +02:00
Thomas Unterthiner