69827c4b58
TST Test check_consistent_length and TypeError with ensemble arg
2015-02-26 16:30:39 +01:00
feceab6f62
FIX test for consistent handling on empty input data
2015-02-26 10:45:06 +01:00
3c3360d408
FIX Make Spectral Embedding deterministic
2015-02-26 09:07:57 +01:00
d90a8ae451
TST test last commit
2015-02-16 13:06:12 +01:00
d16e9eeb1b
FIX stricter validation for non-empty input data
2015-02-14 00:39:26 +01:00
5c0c5c672c
MAINT use absolute imports in tests
...
as per the guideline in:
http://scikit-learn.org/stable/developers/#coding-guidelines
2015-02-10 13:40:31 +01:00
f2431db3ec
add test for None class_weights
2015-02-05 07:42:13 -08:00
965bf51636
use safe in1d, use compute_sample_weight in ridge
2015-02-01 14:28:01 -08:00
c5fadff91c
add compute_sample_weight util
2015-01-31 18:26:41 -08:00
0bca2ffdfa
FIX Refactor _is_fitted method into check_is_fitted.
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DOC Make the docstring of NotFittedError class to conform to pep8.
DOC Make the error message of check_is_fitted more newbie friendly.
2015-01-12 00:33:40 +05:30
b3209c10fc
MAINT Add new function to check if an estimator is fitted
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TST Add tests for the _is_fitted and check_is_fitted fns
2015-01-12 00:32:20 +05:30
88555987cc
PEP8 Fix E101, E111 errors and W191, W293, W293 and W391 warnings.
2015-01-08 04:28:24 +05:30
53f3b72660
make utils.check_symmetric future-proof
2014-12-31 09:00:18 -08:00
358e16390c
TST: add test of check_symmetric
2014-12-29 08:36:42 -08:00
41e2c10a9e
rename decorator
2014-12-19 17:27:27 -05:00
a1510a14c9
fix docstrings in sphinx
2014-12-19 15:47:10 -05:00
37f0e2d956
add regression test for docstring delegation
2014-12-19 14:44:07 -05:00
2daa0289ef
Renamed csc_row_median to csc_median_axis_0
2014-10-21 09:21:30 +02:00
91450c6960
FIX: Wrap csc_row_median around the _get_median imputer function
2014-10-21 09:21:30 +02:00
6f41bd1c88
ENH: Patches Nearest Centroid for metric=manhattan for sparse and dense data
2014-10-21 09:21:30 +02:00
4213c0461b
DOC: Make it explicit that assert_warns clears the warning registry
2014-10-14 10:57:43 +02:00
34df94d6c5
TST: Test that assert_warns is reset internally
2014-10-13 23:13:52 +02:00
859992ae90
TST: Test that the warning registry is empty after assert_warns
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Also minor doc change to the statement that this class was
copied from NumPy
2014-10-13 14:56:29 +02:00
54eb4784ba
FIX: Remove test that tests state of warnings before and after assert_warns
2014-10-10 17:14:41 +02:00
4d94392b49
Added _check_sample_weight
2014-09-28 19:23:36 +05:30
16bc265ed8
dded tests to test_boosting
2014-09-28 14:58:55 +05:30
11d3696de2
Added make_fit_parameter method
2014-09-27 19:35:13 +05:30
2666b702d2
TST stronger test_shuffle_on_ndim_equals_three
2014-09-25 19:37:35 +02:00
766fb56ec0
FIX allow ndim>2 in shuffle
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Fixes #3694 .
2014-09-25 19:29:44 +02:00
b2d6a30aeb
IncrementalPCA implementation
2014-09-22 13:12:29 -04:00
52adb5cae7
ENH Add 'axis' argument to sparsefuncs.mean_variance_axis
2014-09-03 13:47:48 +02:00
39da06f567
Merge pull request #3438 from hamsal/sprs-out-dmy
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[MRG+1] Sparse Target Dummy Classifier
2014-08-17 16:22:24 +02:00
2198a84388
Manage explicit zeros manualy in class_distribution, test with explicit zeros
2014-08-09 10:33:35 -04:00
2203422d0d
Combine sparse and dense test for class_distribution
2014-08-09 09:56:09 -04:00
9783de3b20
Test additional corner cases with random_choice_csc, error on proabilites not summing to 1
2014-08-08 21:17:47 -04:00
2a3f504f1c
Make cosmetic adjustments, Fix random.py header, use message with assert_warns
2014-08-08 18:48:23 -04:00
a5acf9d8a6
Test insertion of 0 class in random_choice_csc
2014-08-07 17:45:28 -04:00
1873ef867c
Test explicit sample wieghts in the sparse case of class_distribution
2014-08-07 17:20:07 -04:00
94b7845c4b
Test that class dtypes string and float fail in random_choice_csc
2014-08-07 17:00:00 -04:00
0e314728dc
Remove transposes from testing of random_choice_csc
2014-08-05 14:04:45 -04:00
f59e4da4ab
Test random_choice_csc implicit, readability adjustments
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Readability: remove unecessary transpose
2014-08-05 11:32:37 -04:00
6c6ef87431
Test class_distribution w/ multioutput-multiclass sparse and dense
2014-08-05 10:09:52 -04:00
5ba7df8b6c
Include dense case support in class_distribution, pep8 revisions
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Make The function previoulsy sparse_class_distribution support both the sparse and
dense case, and make some cosmetic updates for imporved readability
2014-08-05 09:45:20 -04:00
81f82682d6
Move test_sparse_class_distribution to utils/multiclass from utils/sparsefuncs
2014-08-04 18:24:07 -04:00
0ee10dc4cd
move random_choice_csc to utils/random from utils/sparsefuncs
2014-08-04 17:41:31 -04:00
22070464ea
Make default parameters for test_random_choice_csc, and use almost equal
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Use assert_array_almost_equal in test_sparse_class_distribution so
that slight numerical inacuracies are tolerated,
Move initilization of n_samples and random state to the parameters
of the function
2014-08-04 16:40:16 -04:00
e1bbd9aa96
Test sparse_class_distribution, Correct data indexing
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Write a new test and update sparse_class_distribution for correctness,
the indexing of y.data in sparse_class_distribution is now done correctly
2014-08-01 11:38:24 -04:00
292590cff5
Test ValueError for length mismatch between array in classes, and probs
2014-07-31 14:15:53 -04:00
319d96eb55
Test random_choice_csc
2014-07-31 14:02:34 -04:00
0e31553de5
ENH Sparse multilabel target support
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All multilabel metric calculation is now performed efficiently over
sparse CSR matrices.
2014-07-30 22:13:11 +10:00
Joel Nothman