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isotonicasnode properties

Last updated: Oct 09, 2024
isotonicasnode properties

Isotonic-AS node iconIsotonic Regression belongs to the family of regression algorithms. The Isotonic-AS node in SPSS Modeler is implemented in Spark. For details about Isotonic Regression algorithms, see https://spark.apache.org/docs/2.2.0/mllib-isotonic-regression.html.

Table 1. isotonicasnode properties
isotonicasnode properties Data type Property description
label string This property is a dependent variable for which isotonic regression is calculated.
features string This property is an independent variable.
weightCol string The weight represents a number of measures. Default is 1.
isotonic Boolean This property indicates whether the type is isotonic or antitonic.
featureIndex integer This property is for the index of the feature if featuresCol is a vector column. Default is 0.