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Transformed Regression (AI Studio Core)

Synopsis

This learner performs regression by transforming the labels and calling an inner regression learner.

Description

This meta learner applies a transformation on the label before the inner regression learner is applied.

Input

  • training set (IOObject)

Output

  • model (Model)

  • example set (Data Table)

    This is an example set output port

  • through (IOObject)

    through output port, that leaves the content untouched.

Parameters

  • transformation methodType of transformation to use on the labels (log, exp, transform to mean 0 and variance 1, rank, or none).
  • z scaleIf checked the values will be normalized to mean 0 and standard deviation 1.
  • interpolate rankIf checked and predicted rank is not an integer, it will be interpolated.