Struct googapis::google::cloud::automl::v1beta1::Model[][src]

pub struct Model {
    pub name: String,
    pub display_name: String,
    pub dataset_id: String,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub deployment_state: i32,
    pub model_metadata: Option<ModelMetadata>,
}
Expand description

API proto representing a trained machine learning model.

Fields

name: String

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

display_name: String

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

dataset_id: String

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

create_time: Option<Timestamp>

Output only. Timestamp when the model training finished and can be used for prediction.

update_time: Option<Timestamp>

Output only. Timestamp when this model was last updated.

deployment_state: i32

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

model_metadata: Option<ModelMetadata>

Required. The model metadata that is specific to the problem type. Must match the metadata type of the dataset used to train the model.

Implementations

Returns the enum value of deployment_state, or the default if the field is set to an invalid enum value.

Sets deployment_state to the provided enum value.

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