Mean

Objective

Mean normalization is a process used in machine learning that calculates and subtracts the mean for every feature.

Example

time window:
  emitting type: slidingMeanNormalization
  window functions:
    feature norm:
      function:
        mean norm: {}
      attributes: [ ask,bid ]
  policy:
    type: slidingTime
    slide: 500
    window size: 2500

Output attributes

After processing, attributes receive automatically applied postfix ID = MEAN_NORM

Before processing	After processing	Data type
ask	ask_MEAN_NORM	double value
bid	bid_MEAN_NORM	double value