Struct google_prediction1d6::Insert2ModelInfo

pub struct Insert2ModelInfo {
    pub number_instances: Option<String>,
    pub class_weighted_accuracy: Option<String>,
    pub number_labels: Option<String>,
    pub classification_accuracy: Option<String>,
    pub mean_squared_error: Option<String>,
    pub model_type: Option<String>,
}

Model metadata.

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

Fields

number_instances: Option<String>

Number of valid data instances used in the trained model.

class_weighted_accuracy: Option<String>

Estimated accuracy of model taking utility weights into account (Categorical models only).

number_labels: Option<String>

Number of class labels in the trained model (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).

Trait Implementations

impl Part for Insert2ModelInfo

impl NestedType for Insert2ModelInfo

impl Default for Insert2ModelInfo

fn default() -> Insert2ModelInfo

Returns the "default value" for a type.

impl Clone for Insert2ModelInfo

fn clone(&self) -> Insert2ModelInfo

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Insert2ModelInfo

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

Formats the value using the given formatter.

impl Serialize for Insert2ModelInfo

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

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for Insert2ModelInfo

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.