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112 Commits

Author SHA1 Message Date
Julian Quick
2cd109fb98 a more verbose field mismatch error message 
This error message can be hard to understand when there are several fields, as shown in the example below. This improves the error message, letting the user know which fields were unexpected or missing.

    import xgboost as xgb
    import pandas as pd
    train = pd.DataFrame({'a':[1], 'b':[2], 'c':[3], 'd':[4], 'f':[2], 'g':2, 'etc etc etc':[11]})
    dtrain = xgb.DMatrix(train.drop('d', axis=1), train.d)
    test = pd.DataFrame({'a':[1], 'b':[2], 'c':[1], 'd':[4], 'e':[2], 'f':[2], 'g':2, 'etc etc etc':[11]})
    dtest = xgb.DMatrix(test)
    modl = xgb.train({}, dtrain)
    modl.predict(dtest)
    
    
    # ValueError: feature_names mismatch: [u'a', u'b', u'c', u'etc etc etc', u'f', u'g'] [u'a', u'b', u'c', u'd', u'e', u'etc etc etc', u'f', u'g']
 2016-03-17 18:13:30 -06:00
DAndrey
311f7c8f47 change type of xgbclassifier.classes_ from list to numpy array 2016-03-17 16:54:33 +03:00
tqchen
bec7332eea Fix rabit 2016-03-06 20:54:27 -08:00
tqchen
ced6d45e01 Update rabit 2016-03-02 20:53:34 -08:00
tqchen
ecb3a271be [PYTHON-DIST] Distributed xgboost python training API. 2016-02-29 16:54:13 -08:00
Yuan (Terry) Tang
fdd520d774 Merge branch 'master' into sklearn 2016-02-29 10:50:55 -06:00
Paulo Alves
b7985466a4 Merge remote-tracking branch 'upstream/master' 2016-02-29 08:53:48 -03:00
terrytangyuan
803a6fe474 Separate dependencies and lightweight test env for Python 2016-02-28 20:11:10 -06:00
tqchen
4a16b729fc [PYTHON] Simplify training logic, update rabit lib 2016-02-28 13:20:55 -08:00
Paulo Alves
592004b38f XGBClassifier.feature_importances_ compatible with sklearn RFECV 2016-02-26 08:56:07 -03:00
tqchen
ebc802756f temp compatibility with sklearn 2016-02-25 21:57:00 -08:00
tqchen
a71ba04109 [DIST] Add Distributed XGBoost on AWS Tutorial 2016-02-25 21:51:37 -08:00
catena
790dc877c3 return best_ntree_limit if early stopped 2016-02-25 13:42:19 +05:30
ivallesp
c17d0ef560 changed the param show_progress by verbose_eval in cv and aggcv functions 2016-02-21 01:28:55 +01:00
Alexis Mignon
a46706c82e Merge branch 'master' into master 2016-02-17 09:35:30 +01:00
Tianqi Chen
2baea12d97 Merge pull request #818 from webgeist/master 
Add feature_importances_ property for XGBClassifier
 2016-02-16 10:19:04 -08:00
Alexis Mignon
52e9085579 Merge branch 'master' of github.com:AlexisMignon/xgboost 2016-02-16 11:00:57 +01:00
Alexis Mignon
07bd149b68 Created decorator function so that custom objective function passed to the constructor are more consistent with the sklearn conventions. Added comments in the doc string 2016-02-16 10:58:22 +01:00
Alexis Mignon
5c29eeac18 Merge branch 'master' into master 2016-02-16 10:16:58 +01:00
Alexis Mignon
c8714f587a Added the possibility to use custom objective function in the sklearn API 2016-02-15 17:13:13 +01:00
Faron
4b3a053913 stratified cv for python wrapper 
finalize docstring
 2016-02-15 16:06:17 +01:00
Pavel Gladkov
31c0408cb4 add feature_importances_ property for XGBClassifier 2016-02-10 23:01:33 +03:00
Maxim Grechkin
f5e96eba72 Make missing handling consistent with sklearn's portion of the python package 2016-01-28 14:16:11 -08:00
Kai Luo
d9e50fd7f3 __copy__ calls __deepcopy__ with an argument 2016-01-20 19:57:20 +08:00
Kai Luo
5cd765e935 fix signature of __deepcopy__ method 2016-01-20 17:18:11 +08:00
tqchen
8e7f2679d5 [DOC] Update R doc 2016-01-16 11:52:33 -08:00
tqchen
d75e3ed05d [LIBXGBOOST] pass demo running. 2016-01-16 10:24:01 -08:00
Yuan (Terry) Tang
7606bf8156 Fixes #725 2016-01-06 18:21:29 -06:00
FrozenFingerz
2a46918c66 python cv bugfixing 
- fixed bug if both eval_metrics xgb-param and
metrics param of cv function have been set
- cv early stopping output looks now like the one of xgb.train
 2015-12-29 12:24:38 +01:00
FrozenFingerz
38b773d80b cv: fixed devision by zero exception 
- show_progress=False or show_progress=0 led to devision by zero exception
 2015-12-27 13:54:52 +01:00
Faron
b3f3e7d0cb fixed wrong iter when using training continuation 2015-12-19 10:35:16 +01:00
Randy Carnevale
380e54a753 docstring typo 2015-12-16 17:25:55 -05:00
Randy Carnevale
0825ab36f0 updating docs for cv 2015-12-16 17:21:23 -05:00
Randy Carnevale
a3fe14d6c6 modifying cv show_progress to allow print-every-n behavior 2015-12-16 16:33:01 -05:00
terrytangyuan
0eb6240fd0 Fixed all lint errors 2015-12-11 18:46:15 -06:00
terrytangyuan
a7e79e089b fix lint errors in core 2015-12-11 18:37:13 -06:00
phunterlau
a4840b0268 update pip building, troubleshooting with new makefile, plus friendly error message when fail importing sklearn 2015-12-07 22:29:46 -08:00
Far0n
af166bf0a0 small verbose_eval fixes 
- ensures same behavior for verbose_eval=0 and verbose_eval=False
- fix printing last eval message if early_stopping_rounds is set, but xgb
  runs to the end
 2015-11-24 09:22:25 +01:00
Johan Manders
e68e9659ab Python verbose_eval extension 
This is an extension of the verbose_eval abilities.

Removed some trailing-whitespaces
 2015-11-13 08:19:44 +01:00
sinhrks
25c4fbd0cb Cleanup pandas support 2015-11-13 06:55:04 +09:00
Yuan (Terry) Tang
4fb6153eed Fixed minor lint issue 2015-11-12 09:01:05 -06:00
Yuan (Terry) Tang
0a0951ba12 Clarification for best_ntree_limit 2015-11-12 08:53:45 -06:00
Yuan (Terry) Tang
42e1fd8fff Merge pull request #598 from Far0n/py_train 
best_ntree_limit attribute & training continuation bugfix
 2015-11-12 06:16:19 -06:00
phunterlau
ee4096d23e fix pushd problem of pip building, convert README to rst for PyPI 2015-11-11 23:03:07 -08:00
Far0n
ce5930c365 best_ntree_limit attribute added 
- best_ntree_limit as new booster atrribute added
- usage of bst.best_ntree_limit in python doc added
- fixed wrong 'best_iteration' after training continuation
 2015-11-10 15:37:22 +01:00
antonymayi
8c7b18daed python 2.6 compatibility tweak 
replacing set literal {} with set() for python 2.6 compatibility (plus reformatting the line)
 2015-11-10 14:50:54 +01:00
Yuan (Terry) Tang
1dd96b6cdc Merge pull request #597 from JohanManders/python-pandas-dtypes 
Python pandas dtypes
 2015-11-09 18:08:41 -06:00
antonymayi
7114d6681a Update training.py 
pylint compliancy
 2015-11-09 15:09:14 +01:00
antonymayi
34e01642ca Update training.py 
avoid dict comprehension for python 2.6 compatibility
 2015-11-09 14:26:16 +01:00
Yuan (Terry) Tang
b8bc85b534 Clarification for learning_rates 2015-11-08 21:10:04 -06:00