gcp_bigquery_client/model/
regression_metrics.rs

1//! Evaluation metrics for regression and explicit feedback type matrix factorization models.
2
3#[derive(Debug, Default, Clone, Serialize, Deserialize)]
4#[serde(rename_all = "camelCase")]
5pub struct RegressionMetrics {
6    /// Mean squared log error.
7    pub mean_squared_log_error: Option<f64>,
8    /// Median absolute error.
9    pub median_absolute_error: Option<f64>,
10    /// Mean absolute error.
11    pub mean_absolute_error: Option<f64>,
12    /// Mean squared error.
13    pub mean_squared_error: Option<f64>,
14    /// R^2 score. This corresponds to r2_score in ML.EVALUATE.
15    pub r_squared: Option<f64>,
16}