Struct ClusteringMetrics

pub struct ClusteringMetrics {
    pub clusters: Option<Vec<Cluster>>,
    pub davies_bouldin_index: Option<f64>,
    pub mean_squared_distance: Option<f64>,
}

Evaluation metrics for clustering models.

This type is not used in any activity, and only used as part of another schema.

Fields

clusters: Option<Vec<Cluster>>

Information for all clusters.

davies_bouldin_index: Option<f64>

Davies-Bouldin index.

mean_squared_distance: Option<f64>

Mean of squared distances between each sample to its cluster centroid.

Trait Implementations

impl Clone for ClusteringMetrics

fn clone(&self) -> ClusteringMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClusteringMetrics

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

Formats the value using the given formatter.

impl Default for ClusteringMetrics

fn default() -> ClusteringMetrics

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClusteringMetrics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ClusteringMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for ClusteringMetrics