Min max

Objective

Min-max normalization is one of the most common ways to normalize data. For every feature, the minimum value of that feature gets transformed into a 0, the maximum value gets transformed into a 1, and every other value gets transformed into a decimal between 0 and 1.

Example

time window:
  emitting type: slidingMinMaxNormalization
  window functions:
    normalization:
      function:
        minmax norm: {}
      attributes: [ ask,bid ]
  policy:
    type: slidingTime
    slide: 500
    window size: 2500

Output attributes

After processing, attributes receive automatically applied postfix ID = MINMAX_NORM

Before processing	After processing	Type
ask	ask_MINMAX_NORM	double value
bid	bid_MINMAX_NORM	double value