XGBTune
XGBTune is a library for automated XGBoost model tuning. Tuning an XGBoost model is as simple as a single function call.
Get Started
from xgbtune import tune_xgb_model
params, round_count = tune_xgb_model(params, x_train, y_train)Install
XGBTune is available on PyPi and can be installed with pip:
pip install xgbtuneTuning steps
The tuning is done in the following steps:
compute best round
tune max_depth and min_child_weight
tune gamma
re-compute best round
tune subsample and colsample_bytree
fine tune subsample and colsample_bytree
tune alpha and lambda
tune seed
This steps can be repeated several times. By default, two passes are done.
1 maintainer
Metadata
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Release files for xgbtune 1.1.0
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Release files / xgbtune-1.1.0.tar.gz
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