Struct ModelDiagnostics 

pub struct ModelDiagnostics {
    pub num_entries: usize,
    pub optimal_k: Option<usize>,
    pub metric_active: bool,
    pub kernel_bandwidth: Option<f64>,
    pub trained_at: usize,
    pub entries_since_training: usize,
    pub is_classification: bool,
    pub feature_metrics: Option<Vec<FeatureDiagnostics>>,
    pub output_stats: OutputStats,
}

Snapshot of the model’s current state for diagnostics/dashboards.

Fields

num_entries: usize

Number of training points.

optimal_k: Option<usize>

Current auto-selected K (None if not yet trained).

metric_active: bool

Whether the learned metric is active (vs baseline Gower distance).

kernel_bandwidth: Option<f64>

Gaussian kernel bandwidth (None = using hard-k + 1/d weighting).

trained_at: usize

Number of entries when the model was last trained.

entries_since_training: usize

Number of entries added since last training.

is_classification: bool

Whether the model detected a classification task (vs regression).

feature_metrics: Option<Vec<FeatureDiagnostics>>

Per-feature metric diagnostics (only available when metric is active).

output_stats: OutputStats

Output value statistics.

Trait Implementations

impl Clone for ModelDiagnostics

fn clone(&self) -> ModelDiagnostics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelDiagnostics

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

Formats the value using the given formatter.