SlowFeatureAnalysis
Implementation of the Slow Feature Analysis algorithm for unsupervised learning
Install / Use
/learn @hsaafan/SlowFeatureAnalysisREADME
SlowFeatureAnalysis
Implementation of the Slow Feature Analysis algorithm for unsupervised learning
Main Files
SFAClass.py provides the SFA object which is used for training of data
TEP_Import.py is a set of functions that are used to import the Tennessee Eastman Process dataset for testing purposes
Test Files
Files ending with _test are test cases that are checked with pytest
