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tqchen 2014-09-03 13:18:36 -07:00
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demo/READMDE.md
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Features Walkthrough
====
This is a list of short codes introducing different functionalities of xgboost and its wrapper.
* Basic walkthrough of wrappers. [python](guide-python/basic.py) [R](guide-R/basic.R)
* Basic walkthrough of wrappers. [python](guide-python/basic_walkthrough.py) [R](guide-R/basic_walkthrough.R)
* Cutomize loss function, and evaluation metric. [python](guide-python/custom_objective.py) [R](guide-R/custom_objective.R)
* Boosting from existing prediction. [python](guide-python/boost_from_prediction.py) [R](guide-R/boost_from_prediction.R)
* Predicting using first n trees. [python](guide-python/predict_first_ntree.py) [R](guide-R/predict_first_ntree.R)

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demo/guide-python/READMDE.md
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XGBoost Python Feature Walkthrough
====
* [Basic walkthrough of wrappers](guide-python/basic.py)
* [Cutomize loss function, and evaluation metric](guide-python/custom_objective.py)
* [Boosting from existing prediction](guide-python/boost_from_prediction.py)
* [Predicting using first n trees](guide-python/predict_first_ntree.py)
* [Basic walkthrough of wrappers](basic_walkthrough.py)
* [Cutomize loss function, and evaluation metric](custom_objective.py)
* [Boosting from existing prediction](boost_from_prediction.py)
* [Predicting using first n trees](predict_first_ntree.py)

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demo/guide-python/runall.sh
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python basic_walkthrough.py
python custom_objective.py
python boost_from_prediction.py
python boost_from_prediction.py
rm *~ *.model *.buffer