Revert MinMax scaling
问题 I have an array of value (percentages) scaled from 0 to 100: [34, 34, 84, 28, 56, 56, 0, 0, 100] I know that these values have been scaled with a MinMax scaler: V = (actual - min) / (max - min) And then multiplied by 100 to have the percentages above. I didn't perform this transformation so I don't have actual, min, or max. But I have V. I wanted to use numpy.linalg.solve , but I obviously can't express V as a linear/independent combination of actual, min, max. Is it a known problem? 回答1: