Normalization

the normalization processor scales incoming values into a 0 to 1 range, using a window of values to calculate the scale why use normalization use this processor when downstream calculations or models expect values on a consistent 0 to 1 scale rather than each tag's raw units, for example, normalizing sensor readings that have different native ranges before feeding them into a shared model how it works the processor first observes a window of values and scales the next value between 0 and 1 , based on the normalization method you choose in mode after that initial window, it continues as a moving window each subsequent value is scaled between 0 and 1 relative to the window immediately before it parameters parameter details mode the normalization method to apply min max scaling or average standard deviation window size the number of values to observe when calculating each window's scale pass through value determines whether the processor's output is the normalized value or the original unchanged input value related topics use the normalization processor function docid\ owvrf72sb93mdc3mw5irh