Log

Objective

Log normalization is a method for standardizing data that can be useful when we have features with high variance. Log normalization applies a logarithmic transformation to our values, which transforms them onto a scale that approximates normality - an assumption that many models make

Example

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

Output attributes

After processing, attributes receive automatically applied postfix ID = LOG_NORM

Before processing	After processing	Type
ask	ask_LOG_NORM	double value
bid	bid_LOG_NORM	double value