Changes in version 1.0.7 (2023-02-01)                  

  - I've added the include_query_data_row_index parameter to the
    Knn_Query() method of the NMSlib R6 Class and at the same time I
    added a deprecation warning for this parameter, because this method
    currently excludes by default the first output index and value. By
    setting the include_query_data_row_index to TRUE the first output
    index and value will be returned. This change will take effect in
    version 1.1.0 and the Knn_Query() method will return the first
    output index and value by default.
  - I added the "save_data" parameter to the "save_Index()" method and
    the "load_data" parameter to the "initialize()" method of the
    'NMSlib()' R6 class. I updated the documentation and references
    sections as well
  - I've modified the DESCRIPTION and the package.R file by adding only
    comments related to a new configuration type in the reticulate R
    package (see:
    https://github.com/rstudio/reticulate/issues/883#issuecomment-775552812)
  - I updated the Makevars and the .cpp files from C++11 to C++17
    because I received the following NOTE during checking of the
    package: Specified C++11: please update to current default of C++17
  - I updated the .Rbuildignore file to exclude the LICENSE.md file
    because it gives a NOTE during CRAN checking

                 Changes in version 1.0.6 (2021-09-11)                  

  - I'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)
  - I've updated the 'SystemRequirements' in the DESCRIPTION file

                 Changes in version 1.0.5 (2021-05-07)                  

  - I updated the License in the DESCRIPTION file which as of
    '07-05-2021' will be Apache License Version 2.0. Therefore I removed
    also the COPYRIGHTS file from the 'inst' directory
  - I removed LazyData from the DESCRIPTION file
  - I added the CITATION file in the 'inst' directory
  - I removed the 'zzz.R' file and the 'packageStartupMessage()'

                 Changes in version 1.0.4 (2020-03-08)                  

  - I adjusted the output indices of the Knn_Query method (NMSlib R6
    class) to account for the difference in indexing between R and
    Python ( reference : https://github.com/mlampros/nmslibR/issues/5 )
  - I removed the dtype 'DOUBLE' parameter from the NMSlib R6 class,
    KernelKnn_nmslib and KernelKnnCV_nmslib functions (reference :
    https://github.com/nmslib/nmslib/commit/4d2937d6259aebb456db141ee0f3c2c465a51a8e
    )
  - I replaced almost all web-links of the Python nmslib Package because
    the initial repository was moved to https://github.com/nmslib/nmslib

                 Changes in version 1.0.3 (2018-07-21)                  

I updated the README.md file and especially the installation
instructions for all mentioned operating systems i.e. Linux, Macintosh,
Windows (switch from python2 to python3 due to pybind11 issues).

                 Changes in version 1.0.2 (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 nmslibR package in case of sparse
    matrices is the dgRMatrix format (scipy.sparse.csr_matrix)
  - I added an onload.R file to inform the users about the previous
    change [ related with the issue :
    https://github.com/mlampros/nmslibR/issues/1 ]
  - I removed the utils.R file which included internal functions of the
    KernelKnn package. Rather than including the file I now use the
    getFromNamespace function of the utils package.
  - Due to the previous changes I modified the Vignette and the tests
    too.

                 Changes in version 1.0.1 (2018-04-14)                  

  - I 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 Macintosh Operating
    System ( reference : https://github.com/scipy/scipy/issues/5353 )
  - I added links to the github repository (master repository, issues)

                 Changes in version 1.0.0 (2018-02-27)