Sklearn Polynomial FeaturesInstall

Summary

Fit and generate polynomial features on selected columns

Inputs

• featureColumns (required) — Comma-separated list of feature column names
• degree — Degree of polynomial features
• includeBias — Whether to include a bias column (all ones)
• interactionOnly — Whether to produce only interaction features (no powers)
• pythonPath — Path to Python executable with scikit-learn installed

Output shape

a list of output records containing the polynomial-transformed data and metadata

each item includes 'transformed' (list of new feature values), 'feature_names' (list of new feature names), and metadata such as degree, include_bias, interaction_only, and original input columns

Examples

Example 1: Add quadratic features to columns feature1,feature2

featureColumns: feature1,feature2; degree: 2; includeBias: true; interactionOnly: false

Example 2: Generate only interaction features of degree 3 on column attr1

featureColumns: attr1; degree: 3; includeBias: true; interactionOnly: true