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  • Objective
  • Example
  • Output attributes

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  1. Components
  2. Analytics
  3. Analytic tools
  4. Analytic functions
  5. Stateless
  6. Normalisation

Absolute max

Objective

Maximum absolute scaling scales the data to its maximum value; that is, it divides every observation by the maximum value of the variable: The result of the preceding transformation is a distribution in which the values vary approximately within the range of -1 to 1.

Example

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

Output attributes

After processing, attributes receive automatically applied postfix ID = ABSMAX_NORM

Before processing
After processing
Type

ask

ask_ABSMAX_NORM

double value

bid

bid_ABSMAX_NORM

double value

PreviousNormalisationNextMin max

Last updated 5 months ago

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