Sklearn Robust Scaler icon

Sklearn Robust Scaler

Scale features using statistics robust to outliers (median and IQR)

Actions3

Fit Transform

AI-generated

Summary

Fit the RobustScaler on selected columns and transform the data, adding scaled columns to each output item.

Inputs

  • columns (required) — Comma-separated list of columns to scale
  • withCentering — Whether to center the data before scaling (subtract median)
  • withScaling — Whether to scale data to IQR
  • quantileRange — Quantile range used for scaling
  • pythonPath — Path to Python executable with scikit-learn installed

Output shape

a list of records, each containing original fields plus new scaled columns and fitted scaler metadata

Each output item adds <column>_scaled fields and may include center and scale mappings; the operation returns transformed data only for Fit Transform.

Examples

Example 1: Scale numeric columns using the default IQR range

Set columns to "col1,col2"; keep With Centering and With Scaling enabled; use Quantile Range "25-75".

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