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Yuan (Terry) Tang 2015-11-08 14:54:52 -05:00
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@ -37,16 +37,17 @@ xgboost-0.4
on going at master
==================
* Fix List
- Fixed possible problem of poisson regression for R.
* Python module now throw exception instead of crash terminal when a parameter error happens.
* Python module now has importance plot and tree plot functions.
* Python module now accepts different learning rates for each boosting round.
* Python module now allows model training continuation from previously saved model.
* Python module now allows early stopping in CV.
* Additional parameters added for sklearn wrapper
* Changes in R library
- fixed possible problem of poisson regression.
- switched from 0 to NA for missing values.
* Changes in Python library
- throws exception instead of crash terminal when a parameter error happens.
- has importance plot and tree plot functions.
- accepts different learning rates for each boosting round.
- allows model training continuation from previously saved model.
- allows early stopping in CV.
- improved compatibility in sklearn module.
- additional parameters added for sklearn wrapper.
- added pip installation functionality.
* Java api is ready for use
* Added more test cases and continuous integration to make each build more robust
* Improvements in sklearn compatible module
* Added pip installation functionality for python module
* Switch from 0 to NA for missing values in R
* Added more test cases and continuous integration to make each build more robust.