Isotonic Regression

Creates an isotonic regression model.

This operation is ported from Spark ML.

For a comprehensive introduction, see Spark documentation.

For scala docs details, see documentation.

Since: Seahorse 1.0.0


This operation does not take any input.


Port Type Qualifier Description
0EstimatorAn Estimator that can be used in a Fit operation.


Name Type Description
isotonic Boolean Whether the output sequence should be isotonic/increasing (true) or antitonic/decreasing (false).
use custom weights SingleChoice Whether to over-/under-sample training instances according to the given weights in the `weight column`. If the `weight column` is not specified, all instances are treated equally with a weight 1.0. Possible values: ["no", "yes"]
feature index Numeric The index of the feature if features column is a vector column, no effect otherwise.
label column SingleColumnSelector The label column for model fitting.
features column SingleColumnSelector The features column for model fitting.
prediction column String The prediction column created during model scoring.