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rSFA (version 1.00)

sfaClassPredict: Predict Class for SFA classification

Description

Use a SFA classification model (stored in opts$*Filename), predict & evaluate on new data (xtst,realc_tst). Author of orig. matlab version: Wolfgang Konen, Jan 2011-Mar 2011. See also [Berkes05] Pietro Berkes: Pattern recognition with Slow Feature Analysis. Cognitive Sciences EPrint Archive (CogPrint) 4104, http://cogprints.org/4104/ (2005)

Usage

sfaClassPredict(xtst, realcTst, opts)

Arguments

xtst
NTST x IDIM, test input data
realcTst
1 x NTST, test class labels
opts
list with several parameter settings: gaussdim ... *Filename [* = s,g,x] from where to load the models (see sfaClassModel)

Value

  • list res - res$errtst 1 x 2 matrix: error rate with / w/o SFA on test set - res$ytst output from SFA when applied to test data - res$predT predictions with SFA + GaussClassifier on test set - res$predX predictions w/o SFA (only GaussClassifier) on test set (only if opts.xFilename exists)

References

sfaClassify sfaExecute