Changes in version 1.1 (2021-02-23)                   

    o   provide automatic discretization options of VIKAMINE kernel for
	numeric attributes, they are internally discretized
	SDTaskConfig provides new options.
	defaults: discretize = TRUE, nbins = 3

    o   Improved/extended tests for this.

                  Changes in version 1.0 (2020-04-22)                   

    o   internal enhancements in subgroup.jar, i.e., the VIKAMINE kernel library,
	e.g. according to better error messages relating to the R connection.

    o   Improved documentation and examples.

                  Changes in version 0.9 (2020-03-04)                   

    o   internal enhancements in subgroup.jar, i.e., the VIKAMINE kernel library

    o   rsubgroup requires >= Java 8 (i.e., >= java.version 1.8)   

                         Changes in version 0.8                         

    o   Improvements

    o   included new SDTaskConfig#parfilter: Provides the minimal improvement
	  value for the postfilter (for min-improve-* filters), or the applied
	  significance level (P) for sig-improve-* filters.

    o   updated org.vikamine.kernel version

    o   package-internal: fixed Java requirements (string) in DESCRIPTION

    o   Bug fixes.

    o   fixed bug in automatic discretization used in rsubgroup VIKAMINE kernel

                         Changes in version 0.7                         

    o   Improvements

    o   document setting Java heap space before loading the rsubgroup library.

    o   Improve error handling (exception signaling) when running subgroup discovery
	using an ARFF file directly.

    o   SDTaskConfig now provides an option mintp, that allows to set the minimal
	true positives threshold to be contained in a subgroup, which is usually
	very effective for pruning.

    o   The Pattern class now contains a list of selection expressions (selectors)
	for the subgroup, not only the description. Using the is.pattern.matching
	function, a match of a pattern and a data instance can be checked now.

    o   In SDTaskConfig, postfilter can be a single filter or a vector of filters,
	that are then applied in order on the results. This allows e.g., the combination
	of minimal improvement filtering with weighted covering post-processing.

    o   Implement/enable new quality function (Adjusted residuals, cf. Agresti 2007)
	==> qf="ares"

    o   For a binary target variable, the resulting patterns now also store the
	chi-squared value comparing subgroup and population w.r.t. the target in the
	parameters field.

    o   ToDataFrame shows the chi-squared value for a binary target.

    o   Bug fixes:

    o   fix providing attributes=NULL (i.e., automatically include all attributes)
	into subgroup discovery

    o   fix max-attribute-value bug in SGSelectorGenerator, causing the inclusion
	of two few selectors in subgroup discovery methods

                  Changes in version 0.6 (2014-09-11)                   

    o   Improvements:

    o   optimizations in the beam search algorithm

    o   significant memory optimization (dataset storage, access)

    o   ARFF: enable import of "empty" attributes, i.e., with an empty value domain
	(this can occur, for example, when importing columns with only 'NA' in R)  

    o   Bug fixes:

    o   exclude target from subgroup attributes

    o   fix loading of ARFF file, for attributes/values with trailing spaces