Rgf Versions Save

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

3.2.0

5 years ago
  • Added note about gcc version on macOS
  • Support feature_importances_ and dump_model() of RGF estimators

3.1.0

6 years ago
  • FastRGF updated and bug about small sample weight was fixed. (Thanks @StrikerRUS!)
  • RGF supports absolute error loss for regression.

3.0.0

6 years ago

From 3.0.0, FastRGF supports officialy, not alpha version

  • Installation improvement
  • Fix COO matrix

To 3.0.0, all contribution is done by @StrikerRUS. Many thanks!

2.3.0

6 years ago
  • FastRGF parameter validation (Thank you for @StrikerRUS!).
  • Change FastRGF parameter name like sklearn model (Thank you for @StrikerRUS!).
  • FastRGF on the fly compilation.
  • Add docker image usage.
  • Fix view in Jupyter notebook (Thank you for @StrikerRUS!).
  • Improve model input efficiency (Thank you for @StrikerRUS!).

2.2.0

6 years ago
  • Support FastRGF as alpha version Please see https://github.com/fukatani/rgf_python/blob/master/FastRGF.rst
  • Overall refactoring, Change directory configuration (Thank you for @StrikerRUS! )
  • Enable to import by import rgf.RGFRegressor or other model. You can also use conventional import method import rgf.sklearn.RGFRegressor (Thank you for @StrikerRUS! )

2.1.2

6 years ago

2.1.1

6 years ago
  • Add cleanup API

2.1.0

6 years ago

We are extremely pleased to announce the release of rgf_python 2.1.0, many thanks to the contributors and all users!

  • Support serialization by pickle and joblib.
  • Changed some error message and improve debuggability.

2.0.4

6 years ago

We fixed #65 Thanks @StrikerRUS and @abczhqiang!

2.0.2

6 years ago

Hot fix.