public void load(File... files) throws IOException {
        setFeatureStats(DistributionStats.load(files[0], files[1]));
        if (isFitLabel()) {
            setLabelStats(DistributionStats.load(files[2], files[3]));
        }
    }
public void load ( File ... files ) throws IOException { setFeatureStats ( DistributionStats . load ( files [ 0 ] , files [ 1 ] ) ) ; if ( isFitLabel ( ) ) { setLabelStats ( DistributionStats . load ( files [ 2 ] , files [ 3 ] ) ) ; } }
Load the means and standard deviations from the file system

@param files the files to load from. Needs 4 files if normalizing labels, otherwise 2.