RGF 1.0.6
- We’ve added the init_model parameter to the RGFRegressor and RGFClassifier
- We’ve added the save_model method to the RGFRegressor and RGFClassifier
- Source files were broken up into one file per exported object as of #266
- Internal calls to estimator constructors were changed to use keyword, instead of positional, arguments. #267
RGF 1.0.5
The RGF R package was integrated in the home repository of the Regularized Greedy Forest (RGF) library (https://github.com/RGF-team).
- We downgraded the minimum required version of R to 3.2.0
- We modified / formatted the R files
RGF 1.0.4
- We modified the license from GPL-3 to MIT to go in accordance with the new structure of the rgf_python package. The package includes two files : LICENSE (for the RGF R package) and LICENSE.note (for the RGF, FastRGF and rgf_python packages).
- We added the following new features of RGF estimators : feature_importances_ and dump_model()
- We modified the README.md file and especially the installation instructions for all operating systems (Linux, Mac OS X, Windows)
- We created an R6 class (Internal_class) for all secondary functions which are used in RGF and FastRGF
RGF 1.0.3
- The dgCMatrix_2scipy_sparse function was renamed to TO_scipy_sparse and now accepts either a dgCMatrix or a dgRMatrix as input. The appropriate format for the RGF package in case of sparse matrices is the dgCMatrix format (scipy.sparse.csc_matrix)
- We added an onload.R file to inform the users about the previous change
- Due to the previous changes we modified the Vignette and the tests too
RGF 1.0.2
We commented the example(s) and test(s) related to the dgCMatrix_2scipy_sparse function [ if (Sys.info()[“sysname”] != ‘Darwin’) ], because the scipy-sparse library on CRAN is not upgraded and the older version includes a bug (TypeError : could not interpret data type). This leads to an error on Mac OS X ( reference : https://github.com/scipy/scipy/issues/5353 ).
RGF 1.0.1
We added links to the GitHub repository (master repository, issues).
RGF 1.0.0
Initial version.