Struct google_prediction1d6::api::Insert2ModelInfo
source · pub struct Insert2ModelInfo {
pub class_weighted_accuracy: Option<String>,
pub classification_accuracy: Option<String>,
pub mean_squared_error: Option<String>,
pub model_type: Option<String>,
pub number_instances: Option<i64>,
pub number_labels: Option<i64>,
}
Expand description
Model metadata.
This type is not used in any activity, and only used as part of another schema.
Fields§
§class_weighted_accuracy: Option<String>
Estimated accuracy of model taking utility weights into account (Categorical models only).
classification_accuracy: Option<String>
A number between 0.0 and 1.0, where 1.0 is 100% accurate. This is an estimate, based on the amount and quality of the training data, of the estimated prediction accuracy. You can use this is a guide to decide whether the results are accurate enough for your needs. This estimate will be more reliable if your real input data is similar to your training data (Categorical models only).
mean_squared_error: Option<String>
An estimated mean squared error. The can be used to measure the quality of the predicted model (Regression models only).
model_type: Option<String>
Type of predictive model (CLASSIFICATION or REGRESSION).
number_instances: Option<i64>
Number of valid data instances used in the trained model.
number_labels: Option<i64>
Number of class labels in the trained model (Categorical models only).
Trait Implementations§
source§impl Clone for Insert2ModelInfo
impl Clone for Insert2ModelInfo
source§fn clone(&self) -> Insert2ModelInfo
fn clone(&self) -> Insert2ModelInfo
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
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