Struct google_prediction1d6::Insert

pub struct Insert {
    pub storage_data_location: Option<String>,
    pub model_type: Option<String>,
    pub storage_pmml_model_location: Option<String>,
    pub source_model: Option<String>,
    pub storage_pmml_location: Option<String>,
    pub training_instances: Option<Vec<InsertTrainingInstances>>,
    pub id: Option<String>,
    pub utility: Option<Vec<HashMap<String, f64>>>,
}

There is no detailed description.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• insert trainedmodels (request)

Fields

storage_data_location: Option<String>

Google storage location of the training data file.

model_type: Option<String>

Type of predictive model (classification or regression).

storage_pmml_model_location: Option<String>

Google storage location of the pmml model file.

source_model: Option<String>

The Id of the model to be copied over.

storage_pmml_location: Option<String>

Google storage location of the preprocessing pmml file.

training_instances: Option<Vec<InsertTrainingInstances>>

Instances to train model on.

id: Option<String>

The unique name for the predictive model.

utility: Option<Vec<HashMap<String, f64>>>

A class weighting function, which allows the importance weights for class labels to be specified (Categorical models only).

Trait Implementations

impl Debug for Insert

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Clone for Insert

fn clone(&self) -> Insert

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Default for Insert

fn default() -> Insert

Returns the "default value" for a type.

impl RequestValue for Insert