Documentation Index
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The Feature Transformation component creates new features derived from selected columns. Unlike Data Transformation (which modifies values in-place), this component adds or replaces columns with newly engineered features.
Configuration
| Option | Description | Default |
|---|
| Method | Transformation to apply (see table below) | — |
| Columns | Columns to use as input for the transformation | — |
| Degree (Polynomial / Interaction) | Polynomial degree | 2 |
| N Bins (Binning) | Number of bins | 5 |
| Bin Strategy (Binning) | uniform (equal-width) or quantile (equal-frequency) | uniform |
Methods
| Method | What it creates |
|---|
| Polynomial Features | All polynomial combinations up to the given degree (e.g. x, x², x·y) |
| Interaction Features | Only interaction terms between selected features (no pure powers) |
| Binning | Discretizes continuous values into N categorical bins |
| Label Encoding | Encodes string values as integers (in-place) |
| Frequency Encoding | Replaces each category with its relative frequency in the dataset |
| Type |
|---|
| Input | DataFrame |
| Output | DataFrame |
