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

Event output attributes from the above example.

• ask_MEAN_NORM

• bid_MEAN_NORM

Response variable

List of calculated double values.

Postfix ID

Applied to attribute

• MEAN_NORM