o integration of SFA (slow feature analysis, see package rSFA on CRAN) as a feature generation method for classification
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$mainCommand)
o powell, cmaes, rSFA now in the “Depends” list of DESCRIPTION
o added a TDMR-package description (file tdmGeneralUtils.r)
o extended documentation (e.g. full docu for tdmOptsDefaultsSet and many small other documentation extensions)
o new section opts$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
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)
o initial version