Module scaling

Data scaling and normalization utilities

This module provides various methods for scaling and normalizing data to improve the performance of machine learning algorithms. It includes standard normalization (z-score), min-max scaling, and robust scaling that is resistant to outliers.

Traits

StatsExt

Trait extension for Array1 to calculate mean and standard deviation

Functions

min_max_scale

Performs Min-Max scaling to scale features to a specified range

normalize

Helper function to normalize data (zero mean, unit variance)

robust_scale

Performs robust scaling using median and interquartile range