9bc4de8dae
some fixes for sphinx and in examples
2015-03-02 12:50:53 -05:00
73e5cf5dbf
Merge pull request #3933 from fabianp/loss_liblinear
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MAINT Change loss names for LinearSVC and LinearSVR
2015-02-10 17:49:10 +01:00
5c0c5c672c
MAINT use absolute imports in tests
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as per the guideline in:
http://scikit-learn.org/stable/developers/#coding-guidelines
2015-02-10 13:40:31 +01:00
dbc5d707c6
Change loss names for LinearSVC and LinearSVR()
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the names are now consistent across methods
In LinearSVC:
'l1' -> 'hinge'
'l2' -> 'squared_hinge'
In LinearSVR:
'l1' -> 'epsilon_insensitive'
'l2' -> 'squared_epsilon_insensitive'
2015-02-09 11:09:16 +01:00
38104ff4e8
Merge pull request #4193 from lesteve/deactivate-travis-default-venv
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CI: test with NumPy 1.6.1, fix for its broken bincount
2015-02-03 16:25:36 +01:00
21369dd6a1
TST Removal or modification of stop_words_ should not affect transform.
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DOC Add a line to {Count, Tfidf}Vectorizer about removal of stop_words_
DOC Add documentation of stop_words_ attr in TfidfVectorizer
2015-02-02 02:20:04 +05:30
cedf023e20
Move import statement
2015-02-01 18:20:30 +01:00
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
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
abd31d2cad
MAINT Make uniform the error raised for not fitted condition
2015-01-12 00:33:40 +05:30
d67e9c4d8f
Add newline before bullets
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Without the extra line, the headline is rendered in bold.
2015-01-08 18:37:26 +00:00
de72e1db23
Add dependence to max_features to docstring
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As requested in 4032#issuecomment-68478422.
2015-01-02 09:10:41 +00:00
eb660edbf3
FIX: Raise error when patch width/height is greater than image width/height
2014-11-21 10:23:47 -05:00
cd7b43ccf9
TST make catch_warnings blocks more robust
2014-10-12 18:20:18 +02:00
fd4ba4d9cb
MAINT: set attributes as last action in DictVectorizer.fit
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Prevents getting a half-initialized transformer when an exception occurs.
2014-09-23 12:33:51 +02:00
a7a05120e2
MAINT: handle frombuffer with empty 1st arg in utils.fixes
2014-09-22 17:23:51 +02:00
7354359bca
MAINT refactor DictVectorizer's transform+fit_transform (1)
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Also:
* postpone attribute setting to the end of the fit_transform algorithm,
so that exceptions leave the transformer in a consistent state;
* call sort_indices on CSR result.
Didn't refactor fit as I couldn't get the code shorter without making
_transform cumbersome to read.
2014-09-22 16:44:47 +02:00
324e3c9419
ENH sort option for memory-efficient DictVectorizer
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Added memory efficient UnsortedDictVectorizer
When loading really large files for SKLL, I found that temporarily
storing a list of dictionaries to pass to DictVectorizer was frequently
using up huge amounts of memory. You can now call `fit_transform` on an
iterable, and not have to waste the temporary space.
Sorting is done in-place, so it doesn't waste memory.
2014-09-22 16:44:31 +02:00
a57a306509
Correct documentation for TfidfVectorizer
2014-09-18 18:21:43 -07:00
55cb591ef3
DOC vectorizers were referring to a private function in public docs
2014-08-18 14:33:14 +02:00
8680a6bae1
Deprecate vectorizer fixed_vocabulary attribute
2014-08-13 10:54:44 +02:00
143e5ffc37
FIX set vectorizer vocabulary outside of init
2014-08-13 10:54:44 +02:00
b3bdb08964
DOC fix formatting of attributes etc. in docstrings
2014-07-28 19:04:59 +10:00
56057c9630
MAINT remove deprecated code
2014-07-23 16:19:40 +02:00
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
f7549fd2ba
Refactor input validation.
2014-07-20 10:40:04 +02:00
0239310549
Remove a couple more 'using a non-integer number instead of an integer DeprecationWarning'
2014-07-18 17:05:46 +01:00
fa50e628dd
Remove 'DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future' warnings
2014-07-18 15:16:56 +01:00
4bf824cd7e
TST non-regression test for CV on text pipelines
2014-07-16 16:35:41 +02:00
f208316de6
Added a comment to explain the use of a test.
2014-07-14 22:13:41 +02:00
fb62b9fa7e
Replaced assert_raises with assert_raise_message as the point is to make sure the exception message is clear.
2014-07-14 16:08:56 +02:00
d1fe163bbc
PEP8 line length fix.
2014-07-14 15:26:12 +02:00
6e2af35483
Added a test on hashing vectorizer behavior with np.nan input.
2014-07-14 15:23:21 +02:00
5242c21009
#3356 - Added an exception raising when np.nan is passed into a HashingVectorizer.
2014-07-14 13:32:25 +02:00
f01ae493ec
#3356 - Added an exception raising when np.nan is passed into a HashingVectorizer.
2014-07-14 13:04:29 +02:00
9e54c8bc80
Corrected two typos in docstring.
2014-07-14 12:59:43 +02:00
1eaf8dbc40
DOC typos in feature_extraction.text
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Fixes #3311 .
2014-06-26 10:48:01 +02:00
cdd2279c09
ENH fix astype usage to prevent copying
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Removed where possible; using copy=False (from utils.fixes) where needed.
Also some C integer type fixes to gradient boosting.
2014-06-18 11:01:28 +02:00
d12d3132c4
Fix some fun column span alignment errors.
2014-06-07 16:48:48 +02:00
fe6b9ea1a0
fix defaultdict call
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In Python 2.7, the current version fails with:
$ python -c 'from collections import defaultdict; defaultdict(None)'
Traceback (most recent call last):
File "<string>", line 1, in <module>
TypeError: first argument must be callable
2014-06-03 19:34:41 -07:00
85bdeba4d6
DOC: improve feature_extraction.text docstrings
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Partial solution to #3210 .
2014-05-28 00:10:58 +02:00
110dd5c1d5
Merge pull request #3193 from mjbommar/issue-3167-eradicate-todense
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Minor docstring and What's New changes for issue 3167
2014-05-25 00:32:46 +02:00
123aa8a7a8
Adding Notes section to img_to_graph and grid_to_graph re: np.matrix->np.ndarray
2014-05-24 15:02:58 -04:00
40597f1df5
Merge pull request #3169 from mjbommar/issue-3167-eradicate-todense
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PR re: issue 3167 to eradicate .todense()
2014-05-24 21:02:47 +02:00
92add1daa1
FIX TfidfVectorizer exports idf_ attribute
2014-05-23 17:51:15 +08:00
d8099d6d27
Replacing the non-test .todense() methods with .toarray()
2014-05-20 21:16:34 -04:00
fbe974be84
DOC: tfidf is actually tf*(idf+1) = tf + tf*idf
2014-03-30 15:41:41 +02:00
39b859b95e
FIX TfidfVectorizer to no longer ignore binary param
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Also changed the docs to clarify that binary=True means
binary tf, not binary output.
2014-03-24 11:18:11 +01:00
b97fb3c5fc
MAINT drop support for NumPy < 1.6.1
2014-03-02 20:13:57 +01:00
Andreas Mueller