This component generates new features into the data by performing the following transformations/calculations on the existing columns:
1. Simple transformations (exp, square, cubic, tanh)
2. Distance to the cluster centers when data are clustered into four clusters
3. Interaction effects (sum, product, subtraction, division) between features
- Type: TableTraining dataTraining data to apply feature engineering
- Type: TableTest dataTest data to apply feature engineering
- Type: PMMLNormalizer (PMML)Normalizer model to apply to the generated features