Enum SamplerStrategy 

#[non_exhaustive]
pub enum SamplerStrategy {
    Sequential,
    Random,
    Stratified,
    WeightedRandom {
        weights: Vec<f64>,
    },
}

Strategy used by the mini-batch sampler to select samples.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Sequential

Iterate through the dataset in order.

Random

Randomly shuffle all indices, then iterate sequentially over the shuffled order.

Stratified

Each batch maintains the same label proportions as the full dataset.

WeightedRandom

Sample indices according to per-example weights (with replacement).

Fields

weights: Vec<f64>

Per-sample weight. Length must equal the number of samples.

Trait Implementations

impl Clone for SamplerStrategy

fn clone(&self) -> SamplerStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SamplerStrategy

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

Formats the value using the given formatter.

impl Default for SamplerStrategy

fn default() -> SamplerStrategy

Returns the “default value” for a type.

impl PartialEq for SamplerStrategy

fn eq(&self, other: &SamplerStrategy) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for SamplerStrategy