Feature Engineering

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

Input ports

1. Type: Table
   Training data
   Training data to apply feature engineering
2. Type: Table
   Test data
   Test data to apply feature engineering
3. Type: PMML
   Normalizer (PMML)
   Normalizer model to apply to the generated features

Output ports

1. Type: Table
   Training data
   Training data to which the generated features have been added
2. Type: Table
   Test data
   Test data to which the generated features have been added