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***  R rmcfs    ***
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1.2.4
	minor fix in processing temporary paths
	
1.2.3
	minor fix in cleaning temporary files

1.2.2
	minor fix in uncompression input zip files
	
1.2.1
	new functions write.adh() and read.adh()
	functions read.adx() and read.adh() can read zipped files
	functions write.adx(), write.arff(), write.adh() have new parameter 'zip' and they may produce zipped data
	in plot(type = 'features') by default 'size = NA' and it means 'cutoff_value' * 1.2 features
	in plot(type = 'ri') and plot(type = 'id') by default 'size = NA' and it means 'cutoff_value' * 10 features
	few minor fixes
	dmLab.jar version 2.2.1
	
1.2.0
	new featureFreq parameter - it determines how many times each input feature must be randomly selected when projections = 'auto'.
	parameter 'balanceRatio' is now 'balance' 
	parameters balance, projectionSize, projections are set on 'auto' value by default
	in function plot.mcfs() has new updated parameters: plot_permutations, plot_diff_bars, cv_measure
	in function plot.idgraph() parameter 'label.dist' is now 'label_dist'
	in function write.adx() parameter 'chunk.size' is now 'chunk_size'
	in function write.arff() parameter 'chunk.size' is now 'chunk_size'
	in function fix.data() parameter 'source.chars' is now 'source_chars', 'destination.char'->'destination_char', 'numeric.class'->'numeric_class', 'nominal.class'->'nominal_class'
 	in function export.result() parameter 'save.rds' is now 'save_rds'
 	in function artificial.data() parameter 'rnd.features' is now 'rnd_features'
 	new function read.adx()
 	fixed some small problems when important features set is empty
	mcfs_result contains input data data.frame
	new plot type: plot(type='heatmap')
	import and export of zipped result
	dmLab.jar version 2.2.0

1.1.2
	MCFS-ID works on numeric target (new classifier M5 (regression tree) is implemented in MCFS-ID)
	fix.data replaces value '?' by NA
	fix in write.arff
	dmLab.jar version 2.1.2
	
1.1.1
	function info() is now showme()
	minor fixes
	dmLab.jar version 2.1.1
	
1.1.0
  	first official CRAN release
  	functionality of the package is highly simplified - available 12 basic functions
  	new names of functions: save.result()/read.result() are now export.result()/import.result(); build.ID.graph() is now build.idgraph()
  	removed useles prefix 'mcfs.' from input params in function mcfs()
  	function fix.data() combines all functionality of: fix.data.values(), fix.data.names() and fix.data.types()
  	function mcfc() returns 'mcfs' object - one plot() function (parameter 'type') and one print() function for 'mcfs' object
  	function build.idgraph() returns 'idgraph' object - new plot() function for 'idgraph' object
  	function plot(type="ri") implements plot.permutations functionality - now it shows maxRI values(if 'plot_permutations' = TRUE)
  	fixed margins in plot.idgraph() - now idgraph uses entire plot space
  	removed curved_edges param from plot.idgraph() - curved_edges are always on
  	plot.idgraph() has new parameter label.dist() that defines distance of labels to corresponding nodes
  	build.idgraph() implements get.min.ID() functionality - get.min.ID() is not visible
  	new function 'artificial.data(1000)' that creates example data used in JSS paper
	many minor fixes to meet CRAN rules
	RD files updated by artificial.data example
	function mcfc() has new seed parameter - now it is possible to replicate the result
	dmLab.jar version 2.1.0
	
1.0.6
  	function write.adx is reiplemented and now it uses a smart exporting (chunk based) for huge datasets
  	function write.arff is reiplemented and now it uses a smart exporting (chunk based) for huge datasets
	function info() extended and changed - better for huge data.frames
  	function fix.data.names added (colNames are cleaned from various unwanted chars e.g. "|", "#", ",")
  	fix.data.types and fix.data.values works much faster on huge data
  	fixed plot.distances (x axis shows correct values projections(s))
  	dmLab.jar version 2.0.6
  	
1.0.5
	useless parameter 'iType' is removed from plot.ID.graph function
	in mcfs function removed parameter 'splitSetSizeLimit' splitSetSize does the job
	new parameter in mcfs function 'cutoffMethod'
	fix of helps (mcfs, build.ID.graph, plot.ID.graph)
	running mcfs on one class data is not allowed
	function 'model.frame' replaced by faster and more stable own implementation
	updated and improved help *.rd files
	dmLab.jar version 2.0.5
	
1.0.4
	new parameter in plot.permutations (parameter 'type')
	cleaning of temporary files after reading result by mcfs function
	dmLab.jar version 2.0.4
	
1.0.3
	parameters u & v are available in mcfs function
	
1.0.2
	new parameter in plot.ID.graph (curved.edges=T)
	refactoring: importances -> RI, interactions -> ID [plot.ID.graph, build.ID.graph, plot.RI, plot.ID]
	
1.0.1
	new function build.rules
	updated help *.rd files (in mcfs introduced parameters s,t according to official papers about MCFS-ID)
	
1.0.0
	first version of rmcfs