Enum google_cloud_bigquery::http::model::ModelType

pub enum ModelType {
    ModelTypeUnspecified,
    LinearRegression,
    LogisticRegression,
    Kmeans,
    MatrixFactorization,
    DnnClassifier,
    Tensorflow,
    DnnRegression,
    BoostedTreeRegressor,
    BoostedTreeClassifier,
    Arima,
    AutomlRegressor,
    AutomlClassifier,
    Pca,
    Autoencoder,
    ArimaPlus,
}

Variants

ModelTypeUnspecified

LinearRegression

Linear regression model.

LogisticRegression

Logistic regression based classification model.

Kmeans

K-means clustering model.

MatrixFactorization

Matrix factorization model.

DnnClassifier

DNN classifier model.

Tensorflow

An imported TensorFlow model.

DnnRegression

DNN regressor model.

BoostedTreeRegressor

Boosted tree regressor model.

BoostedTreeClassifier

Boosted tree classifier model.

Arima

Arima Model

AutomlRegressor

AutoML Tables regression model.

AutomlClassifier

AutoML Tables classification model.

Pca

Prinpical Component Analysis model.

Autoencoder

Autoencoder model.

ArimaPlus

New name for the ARIMA model.

Trait Implementations

impl Clone for ModelType

fn clone(&self) -> ModelType

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ModelType

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

Formats the value using the given formatter.

impl Default for ModelType

fn default() -> ModelType

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ModelType

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

Deserialize this value from the given Serde deserializer.

impl PartialEq<ModelType> for ModelType

fn eq(&self, other: &ModelType) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for ModelType

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

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ModelType