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.

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