|  | ## Transformed Regression

#### 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.

#### ExampleProcess