Struct EvaluationMetrics

pub struct EvaluationMetrics {
    pub dimensionality_reduction_metrics: Option<DimensionalityReductionMetrics>,
    pub ranking_metrics: Option<RankingMetrics>,
    pub regression_metrics: Option<RegressionMetrics>,
    pub clustering_metrics: Option<ClusteringMetrics>,
    pub binary_classification_metrics: Option<BinaryClassificationMetrics>,
    pub arima_forecasting_metrics: Option<ArimaForecastingMetrics>,
    pub multi_class_classification_metrics: Option<MultiClassClassificationMetrics>,
}

Fields

dimensionality_reduction_metrics: Option<DimensionalityReductionMetrics>

Evaluation metrics when the model is a dimensionality reduction model, which currently includes PCA.

ranking_metrics: Option<RankingMetrics>

Populated for implicit feedback type matrix factorization models.

regression_metrics: Option<RegressionMetrics>

Populated for regression models and explicit feedback type matrix factorization models.

clustering_metrics: Option<ClusteringMetrics>

Populated for clustering models.

binary_classification_metrics: Option<BinaryClassificationMetrics>

Populated for binary classification/classifier models.

arima_forecasting_metrics: Option<ArimaForecastingMetrics>

Populated for ARIMA models.

multi_class_classification_metrics: Option<MultiClassClassificationMetrics>

Populated for multi-class classification/classifier models.

Trait Implementations

impl Clone for EvaluationMetrics

fn clone(&self) -> EvaluationMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for EvaluationMetrics

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

Formats the value using the given formatter.

impl Default for EvaluationMetrics

fn default() -> EvaluationMetrics

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for EvaluationMetrics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for EvaluationMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.