History

Icyblade Dai 301540f1d9 fix DeprecationWarning on sklearn.cross_validation (#2075 )

* fix DeprecationWarning on sklearn.cross_validation

* fix syntax

* fix kfold n_split issue

* fix mistype

* fix n_splits multiple value issue

* split should pass a iterable

* use np.arange instead of xrange, py3 compatibility

2017-03-17 08:38:22 -05:00

basic_walkthrough.py

cause this code test pickle the booster, so change bst2 -> bst3

2016-02-25 14:49:33 +08:00

boost_from_prediction.py

Update demo scripts to use installed python library

2015-04-08 14:22:54 -05:00

cross_validation.py

Fix comment in cross_validation.py (#1923 )

2017-01-02 09:40:41 -05:00

custom_objective.py

Use bst_float consistently throughout (#1824 )

2016-11-30 10:02:10 -08:00

evals_result.py

Update evals_result.py

2015-10-14 13:40:20 +02:00

external_memory.py

add more docs

2015-04-19 00:55:11 -07:00

gamma_regression.py

Add support for Gamma regression (#1258 )

2016-07-06 10:22:46 -07:00

generalized_linear_model.py

Update demo scripts to use installed python library

2015-04-08 14:22:54 -05:00

predict_first_ntree.py

Update demo scripts to use installed python library

2015-04-08 14:22:54 -05:00

predict_leaf_indices.py

Update demo scripts to use installed python library

2015-04-08 14:22:54 -05:00

README.md

Added evals result demos

2015-10-14 13:45:59 +02:00

runall.sh

[LIBXGBOOST] pass demo running.

2016-01-16 10:24:01 -08:00

sklearn_evals_result.py

Access xgboost eval metrics by using sklearn

2015-10-14 13:43:14 +02:00

sklearn_examples.py

fix DeprecationWarning on sklearn.cross_validation (#2075 )

2017-03-17 08:38:22 -05:00

sklearn_parallel.py

EX: Make separate example for fork issue.

2015-05-11 09:30:51 -05:00

README.md

XGBoost Python Feature Walkthrough