Struct TimeSeriesSplit 

pub struct TimeSeriesSplit { /* private fields */ }

Time Series Cross-Validation

Generates splits suitable for time series data where temporal order must be preserved. Uses expanding window approach where training set grows with each split.

Implementations

impl TimeSeriesSplit

pub fn new( n_splits: usize, test_size: Option<usize>, gap: usize, ) -> UtilsResult<Self>

Create a new time series cross-validator

Arguments

• n_splits - Number of splits to generate
• test_size - Size of test set (None = automatic sizing)
• gap - Number of samples to exclude between train and test sets

pub fn split(&self, n_samples: usize) -> UtilsResult<Vec<CVSplit>>

Generate time series splits

Arguments

• n_samples - Total number of samples

Returns

Vector of CVSplit structures with expanding training windows

Trait Implementations

impl Clone for TimeSeriesSplit

fn clone(&self) -> TimeSeriesSplit

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TimeSeriesSplit

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.