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: expects: ExampleSet
Output
- model:
- example set:
- through 1:
Parameters
- transformation method: Type of transformation to use on the labels (log, exp, transform to mean 0 and variance 1, rank, or none).
- z scale: If checked the values will be normalized to mean 0 and standard deviation 1.
- interpolate rank: If checked and predicted rank is not an integer, it will be interpolated.