Function smartnoise_runtime::components::resize::resize_categorical

pub fn resize_categorical<T>(
    data: ArrayD<T>, 
    resize_config: RowResizeConfig, 
    number_cols: Option<i64>, 
    categories: Vec<Vec<T>>, 
    weights: Option<Vec<Vec<Float>>>, 
    privacy_definition: &Option<PrivacyDefinition>
) -> Result<ArrayD<T>> where
    T: Clone + PartialEq + Default + Ord + Hash, 

Resizes categorical data based on estimate of n and true size of data.

Arguments

• data - The data to be resized
• n - An estimate of the size of the data – this could be the guess of the user, or the result of a DP release
• categories - For each data column, the set of possible values for elements in the column
• weights - For each data column, weights for each category to be used when imputing null values
• null_value - For each data column, the value of the data to be considered NULL.

Return

A resized version of data consistent with the provided n