Documentation Index
Fetch the complete documentation index at: https://docs.clickml.app/llms.txt
Use this file to discover all available pages before exploring further.
The Data Transformation component applies element-wise mathematical functions to numerical columns — useful for fixing skewed distributions before training.
Configuration
| Option | Description |
|---|
| Method | The transformation to apply (see table below). |
| Columns | Columns to transform. Supports All Numerical Features. |
| Threshold | Used only by the Binarize method. Values above this threshold become 1, values at or below become 0. |
Methods
| Method | Formula | Use case |
|---|
| Log | log(x) | Right-skewed distributions (values must be positive) |
| Log1p | log(1 + x) | Right-skewed distributions that include zero |
| Square Root | √x | Moderate right skew |
| Cube Root | ∛x | Handles negative values |
| Square | x² | Amplify differences for small values |
| Cube | x³ | Amplify differences more aggressively |
| Exponential | eˣ | Left-skewed distributions |
| Box-Cox | Power transform — finds optimal lambda automatically | General normalization (positive values only) |
| Yeo-Johnson | Like Box-Cox but handles zero and negative values | General normalization |
| Binarize | 1 if x > threshold else 0 | Converting continuous features to binary flags |
| Type |
|---|
| Input | DataFrame |
| Output | DataFrame |
