0485ada58b
General spelling fixes
2015-12-16 09:46:42 -08:00
85223b9bcc
a common test to check if classifiers fail when fed regression targets
2015-10-14 14:46:13 -04:00
18221db9fd
FIX type_of_target will now raise ValueError on ml-seq; [[1, 2]] is mc-mo;
2015-08-11 22:27:15 +05:30
c031b39787
MAINT is_label_indicator_matrix --> is_multilabel
2015-08-11 22:27:15 +05:30
7def0a75cd
TST/MAINT reintroduce mixed types test sans seq. of seq.
2015-08-11 22:27:15 +05:30
8f1ad4437f
FIX 2D binary array-like must be considered as unknown
2015-08-11 22:27:14 +05:30
72f6225f7b
MAINT/ENH inline the logic for _is_sequence_of_sequences
2015-08-11 22:27:14 +05:30
664d78eb7c
MAINT Remove support for the deprecated sequence of sequences
...
MAINT Remove sequence of sequence support from datasets
MAINT Remove return_indicator param
MAINT Remove multilabel-seq test in OVR
MAINT Remove multilable-seq test in check_cv
MAINT Remove multilabel seq test in label_binarizer
TST type_of_target returns "unknown" for multilabel-sequence types
TST _check_targets should raise a ValueError
DOC show multilabel indicator as an example; remove return_indicator param
DOC use consistent lower case y for target
2015-08-11 22:26:44 +05:30
a8626b36a6
TST/COSMIT remove nose call boilerplate
2015-05-28 14:54:01 -04:00
cd2ee7e454
MAINT docstring --> comments to prevent nose from using doc in verbose mode
2015-03-21 11:16:49 +05:30
88555987cc
PEP8 Fix E101, E111 errors and W191, W293, W293 and W391 warnings.
2015-01-08 04:28:24 +05:30
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
2a3f504f1c
Make cosmetic adjustments, Fix random.py header, use message with assert_warns
2014-08-08 18:48:23 -04:00
1873ef867c
Test explicit sample wieghts in the sparse case of class_distribution
2014-08-07 17:20:07 -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
...
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
7768a3059b
ENH: enable y to only implement the array interface
...
For instance y could be a pandas' dataframe
2014-07-17 11:44:07 +02:00
be5826d6b9
BUG: Support array interface
2014-07-16 15:30:39 +02:00
2bfca14c49
ENH sparse matrix support in label binarization
2014-06-25 16:15:19 -04:00
28eb1ebe15
Assert or ignore all sequence of sequences deprecation warnings
2014-06-05 11:20:36 +02:00
de7bee4f22
ENH support multiclass targets of string objects
2013-12-05 21:56:54 +11:00
a9197f3dad
FIX bug with indicator format
2013-07-08 13:49:25 +02:00
6c68cac70a
COSMIT
2013-07-08 13:49:25 +02:00
33016ed7b9
TST add smoke test for all supported format
2013-07-08 13:49:25 +02:00
aef47a751a
ENH check that we don't mix number and strings
2013-07-08 13:49:25 +02:00
91e4b9a91f
ENH use type_of_target within unique_labels
2013-07-08 13:49:24 +02:00
adcb0a811e
ENH don't allow mix of input multilabel format
2013-07-08 13:49:24 +02:00
e3ca5c13eb
FIX issue with comparable but different dtype
2013-07-08 13:49:24 +02:00
e40a7f56f0
FIX unique_labels in corner case
2013-07-08 13:49:24 +02:00
1b3b0c2c52
FIX numpy 1.3 has no float16; use float32
2013-06-10 10:59:48 +10:00
210cefa5d5
FIX cannot use set notation for Py2.6
2013-06-09 22:33:38 +10:00
fd3bd2d200
FIX/COSMIT helper to identify target types
...
* Fixes bugs related to simply checking type(..) equality
* Refactors metrics and preprocessing
* Invalidates mix of sequences of sequences and label indicators in
metrics
* Invalidates row vectors in metrics
* Fixes bug where single-class target led to incorrect F-score
2013-06-09 22:05:56 +10:00
2cb8b5e94b
P3K some more fixes in random places
2013-03-08 18:31:35 +01:00
5bcf25fc2f
ENH multilabel metrics: accuracy, Hamming, 0-1 loss
2013-03-02 20:41:34 +01:00
seales