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.