Data Science Pilot Action Set

Provides actions for automating data science workflows, including automatic machine learning pipeline exploration, execution and ranking.

Table of Actions

Action Name Description
analyzeMissingPatterns Missing pattern analysis
detectInteractions Variable interaction detection and ranking
dsAutoMl Automated machine learning pipeline exploration, execution and ranking.
exploreCorrelation Explore linear and nonlinear correlation among the variables.
exploreData Exploration, automatic variable analysis and grouping using comprehensive statistical profiling of the variables.
featureMachine Automated feature transformation and generation engine
generateShadowFeatures Generate shadow features.
screenVariables Screens noise variables and variables that need special transformations to be useful in the downstream analytics.
selectFeatures Feature selection
Last updated: November 23, 2025