Changes in version 1.1.1 (2022-09-12)                  

  - I disabled the tests that require Python on CRAN due to the fact
    that I don't know beforehand which Python version is used and this
    leads to errors.

                 Changes in version 1.1.0 (2022-09-05)                  

  - Upgraded roxygen2 to version 7.2.1 to fix the CRAN NOTE "Warning:
    missing  before "

                        Changes in version 1.0.9                        

  - We've added a 'packageStartupMessage' informing the user in case of
    the error 'attempt to apply non-function' that he/she has to use the
    'reticulate::py_config()' before loading the package (in a new R
    session)

                 Changes in version 1.0.8 (2021-05-07)                  

  - We've modified the DESCRIPTION file by adding the 'Orcid' Number for
    the person 'Lampros Mouselimis'
  - We've removed the 'maintainer' in the DESCRIPTION because this field
    is created automatically
  - We've removed the 'LazyData' in the DESCRIPTION file that gave a
    NOTE on the CRAN checks
  - We've converted all 'reticulate::py_available(initialize = TRUE)' to
    'reticulate::py_available(initialize = FALSE)' otherwise it would
    give a NOTE on the CRAN tests for the Windows Operating System
  - We've removed all comments from the 'package.R' file
  - We've added the 'inst' folder and the 'CITATION' file to cite the
    software and the original articles / software

                 Changes in version 1.0.7 (2021-03-16)                  

  - We've modified the package.R file so that messages are printed to
    the console whenever Python or any of the required modules is not
    available. Moreover, for the R-package testing the conda environment
    parameter is adjusted ( this applies to the RGF-team Github
    repository and not to the CRAN package directly )
  - We've modified the .appveyor.yml file to return the artifacts in
    order to observe if tests ran successfully ( this applies to the
    RGF-team Github repository and not to the CRAN package directly )
  - We've added tests to increase the code coverage.
  - We've dropped support for Python 2.7
  - We've fixed also the invalid URL's in the README.md file
  - We removed the 'zzz.R' file which included the message: 'Beginning
    from version 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)' as after 4 version updates is no longer
    required
  - We've modified the '.onLoad' function in the 'package.R' file by
    removing 'reticulate::py_available(initialize = TRUE)' which forces
    reticulate to initialize Python and gives the following NOTE on CRAN
    'Warning in system2(command = python, args = shQuote(config_script),
    stdout = TRUE, : ..."' had status 2' (see:
    https://github.com/rstudio/reticulate/issues/730#issuecomment-594365528)

                 Changes in version 1.0.6 (2019-01-15)                  

  - 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

                 Changes in version 1.0.5 (2018-09-23)                  

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

                 Changes in version 1.0.4 (2018-07-22)                  

  - 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

                 Changes in version 1.0.3 (2018-05-10)                  

  - 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

                 Changes in version 1.0.2 (2018-04-14)                  

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 ).

                 Changes in version 1.0.1 (2018-02-26)                  

We added links to the GitHub repository (master repository, issues).

                 Changes in version 1.0.0 (2018-02-13)                  

Initial version.