Changes TDMR package

V 0.2.1 – 15.03.2012

o   New 3D graphics for tuning results and their metamodels, using a twiddler-interface on environment envT: see help(tdmPlotResMeta).

o   Print() for TDMdata object “dataObj”

o   Fixed the bug in tdmClassify (wrong ifelse in applySVM).

o   Fixed some minor bugs to reactivate parallel mode:  some sfExports were missing.

o   Fixed the saveEnvT-bug (“[9:9]”) in tdmCompleteEval. New option tdm$filenameEnvT.

o   Fixed the tdmMapDesign bug (Design variables missing in tdmMapDesign.csv and userMapDesign.csv would not be mapped to opts. Now missing variables are detected and an error is thrown.)

o   Added opts$SPLIT.SEED variable: a variable to decide if tdmSplitTestData runs deterministic 

o   Added opts$TST.trnFrac: now trnFrac can be smaller than 1-opts$TST.valiFrac.

o   Added SAVESEED-part in tdmSplitTestData, tdmClassifyLoop, tdmRegressLoop

o   Added tdm$stratified with new meaning: if not NULL, make stratified sampling w.r.t. the column of dset named in tdm$stratified.

o   Some minor fixes concerning data reading

o   TDM docu now available in PDF and HTML format (TDM-docu.htm)

 

V 0.2.0 – 06.02.2012

o   integration of SFA (slow feature analysis, see package rSFA on CRAN) as a feature generation method for classification

o  bug fix concerning tdmMapDesign; extension of tdmMapDesign.csv

o   moved PCA feature generation from main_* into tdmClassifyLoop, it uses now only the training data for establishing the PCA rotation (same for SFA)

o   new training / validation / test set capabilities, see Section “TDMR Data Reading and Data Split …” in TDM-docu.pdf and tdmSplitTestData, tdmReadData.

o   modified TDMR’s seed concept, new option opts$*.seed = “algSeed” (get the seed from spotConfig$alg.seed)

o   new parameter tdm$mainFunc, simpler and more general usage (as compared to tdm$mainFile and tdm$mainCommand)

o  powell, cmaes, rSFA now in the “Depends” list of DESCRIPTION

o  added a TDMR-package description (file tdmGeneralUtils.r)

 

V 0.1.3 – 04.01.2012

o   extended documentation (e.g. full docu for tdmOptsDefaultsSet and  many small other documentation extensions)

o   new section opts$CLS.* for classification-related settings

o   bug fixes in demo01cpu (seed variation) and demo02sonar (GD.DEVICE)

o   merged former functions unbiasedBestRun_C and unbiasedBestRun_R into only one function unbiasedRun

o   extended functions for information on class objects: print.TDMclassifier, print.tdmClass, print.TDMregressor, print.tdmRegre              

o   removed the dependencies on packages matlab and mlbench

V 0.1.2 – 05.12.2011

o   new function tdmParaBootstrap.r: add parametric bootstrap patterns, if opts$ncopies>0

o   new version of TDM-docu.pdf: see documentation index – directory

o   new demo: demo00sonar (with some graphics)

o   fix in print.TDMclassifier, print.TDMregressor: optional argument ‘type’

o   doc/index.html added

o   doc/changes.html added (this file)

V 0.1  – 10.11.2011

o   initial version