HalvingGridSearchConfig

sklears_model_selection

Struct HalvingGridSearchConfig 

Source 
pub struct HalvingGridSearchConfig {
    pub estimator_name: String,
    pub param_distributions: ParameterDistributions,
    pub n_candidates: usize,
    pub cv: Box<dyn CrossValidator>,
    pub scoring: Scoring,
    pub factor: f64,
    pub resource: String,
    pub max_resource: Option<usize>,
    pub min_resource: Option<usize>,
    pub aggressive_elimination: bool,
    pub random_state: Option<u64>,
}
Expand description

Configuration for HalvingGridSearch

Fields§

§estimator_name: String

Estimator to use for the search

§param_distributions: ParameterDistributions

Parameter distributions to search

§n_candidates: usize

Number of candidates to start with

§cv: Box<dyn CrossValidator>

Cross-validation strategy

§scoring: Scoring

Scoring function

§factor: f64

Reduction factor for successive halving

§resource: String

Resource parameter (e.g., number of samples)

§max_resource: Option<usize>

Maximum resource to use

§min_resource: Option<usize>

Minimum resource to use

§aggressive_elimination: bool

Aggressive elimination in early rounds

§random_state: Option<u64>

Random state for reproducibility

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