Struct SamplingConfig 

pub struct SamplingConfig {
    pub n_samples: usize,
    pub strategy: SamplingStrategy,
    pub importance_sampling: bool,
    pub weight_function: WeightFunction,
    pub stratify_by: Option<Vec<usize>>,
    pub n_strata: usize,
    pub use_quasi_random: bool,
    pub quasi_sequence_type: QuasiSequenceType,
    pub adaptive_sampling: bool,
    pub confidence_level: f64,
    pub max_iterations: usize,
}

Configuration for sampling-based imputation

Fields

n_samples: usize

Number of samples to draw

strategy: SamplingStrategy

Sampling strategy to use

importance_sampling: bool

Use importance sampling

weight_function: WeightFunction

Weight function for importance sampling

stratify_by: Option<Vec<usize>>

Stratification variables for stratified sampling

n_strata: usize

Number of strata for stratified sampling

use_quasi_random: bool

Use quasi-random sequences (low-discrepancy)

quasi_sequence_type: QuasiSequenceType

Sequence type for quasi-random sampling

adaptive_sampling: bool

Enable adaptive sampling

confidence_level: f64

Target confidence level for adaptive sampling

max_iterations: usize

Maximum sampling iterations

Trait Implementations

impl Clone for SamplingConfig

fn clone(&self) -> SamplingConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SamplingConfig

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

Formats the value using the given formatter.

impl Default for SamplingConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for SamplingConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for SamplingConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.