SDSCALE Train scaling mapping from data P=SDSCALE(DATA,METHOD) INPUT DATA Data set METHOD Scaling method (default: 'standardization') OUTPUT P Scaling pipeline DESCRIPTION SDSCALE trains a scaling pipeline. Scaling methods: 'standardization' - shift data to zero mean and scale to unit variance (default, synonym: 'variance') 'centering' - mean centering shifting data to zero mean 'range' - scale data into 0-1 interval using min and max data values 'robust' - scale the bulk of data into 0-1 range using lower and upper percentiles. This is robust to outliers. Percentile may be set with an additional parameter (default: 0.05)
