c931bf0603
FIX #7293 : StandardScaler.with_mean in preprocessing doc
2016-08-31 14:08:56 +02:00
0a0bf2478e
Revert "ENH: Add indicator features to imputer output ( #6607 )" ( #7292 )
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This reverts commit 18396be8cb
2016-08-30 21:28:01 +10:00
454b0f239a
minor wording fix
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Changes "the scikit" to "scikit-learn". While both might be technically accurate, explicitly calling the package "scikit-learn" helps with naming consistency.
2016-08-20 00:29:20 -07:00
0493d714a0
fix of typo ( #7137 )
2016-08-04 13:52:04 +02:00
bd5cecce44
update references link namespace
2016-08-03 20:23:50 +02:00
18396be8cb
ENH: Add indicator features to imputer output
2016-04-14 12:21:16 +05:30
9b7176dd9d
[DOC] Fix broken links
2016-03-23 12:45:34 -07:00
1e23805861
DOC: Correct confusing docs of n_values in OneHotEncoder
2015-11-02 15:19:33 -05:00
a87011262a
FIX precision to float64 across the codebase
2015-10-16 11:20:29 +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
b09afb08be
DOC/MAINT final touches to FunctionTransformer
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* copyedit doc
* give the module an underscore (we should do this to all private modules...)
* use public import path in test
* change all logs to log1p to prevent warning in test and because it's
genuinely useful for frequency data
* what's new
2015-08-03 22:12:19 +02:00
9d14f7352e
ENH: Renames CallableTransformer -> FunctionTransformer.
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Makes `pass_y` an argument to FunctionTransformer to indicate that the
labels should be passed to the wrapped function.
2015-08-03 11:45:16 -04:00
cb0916c440
ENH: Adds CallableTransformer
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CallableTransformer allows a user to convert a standard python callable
into a transformer for use in a Pipeline.
2015-08-03 11:45:16 -04:00
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
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[MRG] add MaxAbsScaler
2015-06-12 05:17:07 +10:00
ab734b7a39
ENH add MaxAbsScaler
2015-06-11 16:08:17 +02:00
0233cce559
add connection to kernel method
2015-06-08 15:40:07 -04:00
1676a31e4f
add polynomial features to user guide
2015-06-08 13:33:25 -04:00
0650d5502e
DOC adding backlinks to docstrings
2015-06-03 00:24:04 -04:00
0b07536990
Merge pull request #4125 from untom/RobustScaler
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[MRG + 2] ENH RobustScaler
2015-05-26 18:02:41 -04:00
c12ae6047b
Fix documentation errors
2015-05-21 15:36:42 +02:00
1b69807f44
DOC Grammar fix in preprocessing
2015-04-04 20:55:06 -07:00
22f718dcce
ENH Added RobustScaler
2015-01-19 21:13:31 +01:00
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
9af14b3587
DOC restructure data transformation user guide
2014-09-11 16:54:03 +10:00
dd78f1094a
DOC rename "imputation.py" to "missing_values.py"
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Should make it easier to find.
2014-08-29 23:28:11 +02:00
c176ced74d
DOC double backticks for fixed-width (code) font
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Fixes #3337 . Also other minor fixes while I was at it.
2014-07-06 14:18:33 +02:00
2bfca14c49
ENH sparse matrix support in label binarization
2014-06-25 16:15:19 -04:00
18c399e20a
MAINT deprecate sequences of sequences support
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* add warnings
* provide alternative binarizer, sklearn.preprocessing.MultiLabelBinarizer
* fix documentation
2014-06-05 11:20:35 +02:00
39f3a76dd6
Merge pull request #2199 from GaelVaroquaux/hc_linkage
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[MRG+1] Hierarchical Agglomerative Clustering
2014-03-05 07:00:27 +01:00
2a4402b504
DOC: rmk different feature scaling in agglomeration
2014-03-04 20:13:54 +01:00
caf0035de2
TST fix failing doctest for OneHotEncoder
2014-03-01 17:58:32 +01:00
3ac34554e4
MISC: documentation and cosmits
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Address comments by @jnothman
2014-02-17 11:20:42 +01:00
445eee2471
DOC: link FeatureAgglomeration better to dim red
2014-02-17 10:07:22 +01:00
64efbd66c7
MISC+DOC: documentation for FeatureAgglomeration
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and many cosmetic comments points out in review.
2014-02-13 00:55:46 +01:00
60a0c2f46c
FIX: don't force finite in imputation
2014-01-03 09:49:14 +01:00
40683d5167
DOC while we're at it, link to our own RBM docs
2013-08-13 17:31:40 +02:00
90988fdc0c
[DOC] Remove that RBM's are not implemented yet
2013-08-13 16:17:03 +03:00
9d893548aa
DOC minimal kernel centering narrative docs
2013-07-25 17:58:26 +02:00
96a24e5953
DOC copyedit preprocessing docs
2013-07-25 17:28:13 +02:00
3a0589c160
Del use of as_float_array + naming and documentation improvements
2013-07-25 15:57:07 +02:00
6d79e59877
Fix tests + doc improvements + renaming
2013-07-25 15:57:06 +02:00
0df316c029
FIX: doctest
2013-07-25 15:57:06 +02:00
b86071b403
Missing value imputation
2013-07-25 15:57:06 +02:00
14f8fdba8e
use ELLIPSIS in doctest to deal with numpy changes.
2013-07-10 13:01:41 -04:00
c619e7ce72
Merge in master
2013-07-10 11:52:23 -04:00
fe52584e83
Got all the doc-tests working
2013-07-10 10:52:25 -04:00
4fe51bac2b
Merge pull request #2027 from mblondel/select_categorical
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ENH Non-categorical variables in OneHotEncoder
2013-07-05 11:19:34 -07:00
Olivier Grisel