Hendrik/xgboost

History

Shengwen Yang 77d17f6264 Add support for Gamma regression (#1258 )

* Add support for Gamma regression

* Use base_score to replace the lp_bias

* Remove the lp_bias config block

* Add a demo for running gamma regression in Python

* Typo fix

* Revise the description for objective

* Add a script to generate the autoclaims dataset

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

..

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

[PYTHON] Refactor trainnig API to use callback

2016-05-19 21:31:23 -07:00

custom_objective.py

Update demo scripts to use installed python library

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

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

python package refactor into python-package

2015-07-30 22:04:45 -07:00

sklearn_parallel.py

EX: Make separate example for fork issue.

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

README.md

XGBoost Python Feature Walkthrough