rustyml::machine_learning::principal_component_analysis

Function standardize

Source 
pub fn standardize(x: &Array2<f64>) -> Array2<f64>
Expand description

Standardizes data to have zero mean and unit variance

This function transforms input data by subtracting the mean and dividing by the standard deviation for each feature, resulting in standardized data where each feature has a mean of 0 and a standard deviation of 1.

§Parameters

  • x - A 2D array where rows represent samples and columns represent features

§Returns

  • Array2<f64> - A standardized 2D array with the same shape as the input

§Implementation Details

  • Calculates mean and standard deviation for each feature column
  • Handles cases where standard deviation is zero (or very small) by setting it to 1.0
  • Applies the z-score transformation: (x - mean) / std_dev