Struct DtlLearnerStats 

pub struct DtlLearnerStats {
    pub is_trained: bool,
    pub last_n_samples: usize,
    pub n_features: usize,
    pub n_classes: usize,
    pub tree_depth: usize,
    pub n_leaves: usize,
    pub n_nodes: usize,
    pub history_len: usize,
    pub criterion: DtlCriterion,
    pub feature_names: Vec<String>,
    pub class_labels: Vec<String>,
}

Summary statistics produced by DecisionTreeLearner::learner_stats.

Fields

is_trained: bool

Whether the model has been trained.

last_n_samples: usize

Number of training samples seen in the last fit call.

n_features: usize

Number of features.

n_classes: usize

Number of distinct classes.

tree_depth: usize

Current tree depth.

n_leaves: usize

Current leaf count.

n_nodes: usize

Current total node count.

history_len: usize

Number of entries in the training history.

criterion: DtlCriterion

The configured criterion.

feature_names: Vec<String>

Feature names (copy).

class_labels: Vec<String>

Class labels (copy).

Trait Implementations

impl Clone for DtlLearnerStats

fn clone(&self) -> DtlLearnerStats

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DtlLearnerStats

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DtlLearnerStats

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DtlLearnerStats

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

where __S: Serializer,

Serialize this value into the given Serde serializer.