Struct GoogleCloudAiplatformV1ModelEvaluation

pub struct GoogleCloudAiplatformV1ModelEvaluation {
    pub data_item_schema_uri: Option<String>,
    pub name: Option<String>,
    pub explanation_specs: Option<Vec<GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec>>,
    pub create_time: Option<DateTime<Utc>>,
    pub metrics: Option<Value>,
    pub slice_dimensions: Option<Vec<String>>,
    pub metadata: Option<Value>,
    pub model_explanation: Option<GoogleCloudAiplatformV1ModelExplanation>,
    pub metrics_schema_uri: Option<String>,
    pub annotation_schema_uri: Option<String>,
    pub display_name: Option<String>,
}

A collection of metrics calculated by comparing Model’s predictions on all of the test data against annotations from the test data.

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).

• locations models evaluations import projects (response)
• locations models evaluations get projects (response)

Fields

data_item_schema_uri: Option<String>

Points to a YAML file stored on Google Cloud Storage describing EvaluatedDataItemView.data_item_payload and EvaluatedAnnotation.data_item_payload. The schema is defined as an OpenAPI 3.0.2 Schema Object. This field is not populated if there are neither EvaluatedDataItemViews nor EvaluatedAnnotations under this ModelEvaluation.

name: Option<String>

Output only. The resource name of the ModelEvaluation.

explanation_specs: Option<Vec<GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec>>

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

create_time: Option<DateTime<Utc>>

Output only. Timestamp when this ModelEvaluation was created.

metrics: Option<Value>

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

slice_dimensions: Option<Vec<String>>

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = .

metadata: Option<Value>

The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of “pipeline_job_id”, “evaluation_dataset_type”, “evaluation_dataset_path”, “row_based_metrics_path”.

model_explanation: Option<GoogleCloudAiplatformV1ModelExplanation>

Aggregated explanation metrics for the Model’s prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.

metrics_schema_uri: Option<String>

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

annotation_schema_uri: Option<String>

Points to a YAML file stored on Google Cloud Storage describing EvaluatedDataItemView.predictions, EvaluatedDataItemView.ground_truths, EvaluatedAnnotation.predictions, and EvaluatedAnnotation.ground_truths. The schema is defined as an OpenAPI 3.0.2 Schema Object. This field is not populated if there are neither EvaluatedDataItemViews nor EvaluatedAnnotations under this ModelEvaluation.

display_name: Option<String>

The display name of the ModelEvaluation.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1ModelEvaluation

fn clone(&self) -> GoogleCloudAiplatformV1ModelEvaluation

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1ModelEvaluation

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1ModelEvaluation

fn default() -> GoogleCloudAiplatformV1ModelEvaluation

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1ModelEvaluation

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1ModelEvaluation

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl ResponseResult for GoogleCloudAiplatformV1ModelEvaluation