Struct DtlLearnerConfig 

pub struct DtlLearnerConfig {
    pub max_depth: usize,
    pub min_samples_split: usize,
    pub min_samples_leaf: usize,
    pub criterion: DtlCriterion,
    pub max_features: Option<usize>,
    pub seed: u64,
}

Hyper-parameters controlling tree growth and prediction.

Fields

max_depth: usize

Maximum tree depth (0 means unlimited).

min_samples_split: usize

Minimum samples required to attempt a split.

min_samples_leaf: usize

Minimum samples that must remain in a leaf after a split.

criterion: DtlCriterion

Split quality criterion.

max_features: Option<usize>

Number of candidate features evaluated per node. None = all features.

seed: u64

Random seed for feature sub-sampling.

Trait Implementations

impl Clone for DtlLearnerConfig

fn clone(&self) -> DtlLearnerConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DtlLearnerConfig

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

Formats the value using the given formatter.

impl Default for DtlLearnerConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DtlLearnerConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DtlLearnerConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.