Struct MissingIndicator

pub struct MissingIndicator { /* private fields */ }

Indicator for missing values

This transformer creates a binary indicator matrix that shows where missing values were located in the original data.

Implementations

impl MissingIndicator

pub fn new(missing_values: f64) -> Self

Creates a new MissingIndicator

Arguments

• missing_values - The value that represents missing data (default: NaN)

Returns

• A new MissingIndicator instance

pub fn with_nan() -> Self

Creates a MissingIndicator with NaN as missing value indicator

pub fn fit<S>(&mut self, x: &ArrayBase<S, Ix2>) -> Result<()>

where S: Data, S::Elem: Float + NumCast,

Fits the MissingIndicator to the input data

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<()> - Ok if successful, Err otherwise

pub fn transform<S>(&self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast,

Transforms the input data to create missing value indicators

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<Array2<f64>> - Binary indicator matrix, shape (n_samples, n_features_with_missing)

pub fn fit_transform<S>(&mut self, x: &ArrayBase<S, Ix2>) -> Result<Array2<f64>>

where S: Data, S::Elem: Float + NumCast,

Fits the MissingIndicator to the input data and transforms it

Arguments

• x - The input data, shape (n_samples, n_features)

Returns

• Result<Array2<f64>> - Binary indicator matrix

pub fn features(&self) -> Option<&Vec<usize>>

Returns the features that have missing values

Returns

• Option<&Vec<usize>> - Indices of features with missing values