Class Google::Cloud::AIPlatform::V1::ModelEvaluation (v0.1.0)

Version 0.1.0

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

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#create_time

def create_time() -> ::Google::Protobuf::Timestamp

Returns

• (::Google::Protobuf::Timestamp) — Output only. Timestamp when this ModelEvaluation was created.

#metrics

def metrics() -> ::Google::Protobuf::Value

Returns

• (::Google::Protobuf::Value) — Output only. Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

#metrics_schema_uri

def metrics_schema_uri() -> ::String

Returns

• (::String) — Output only. 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.

#model_explanation

def model_explanation() -> ::Google::Cloud::AIPlatform::V1::ModelExplanation

Returns

• (::Google::Cloud::AIPlatform::V1::ModelExplanation) — Output only. 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.

#name

def name() -> ::String

Returns

• (::String) — Output only. The resource name of the ModelEvaluation.

#slice_dimensions

def slice_dimensions() -> ::Array<::String>

Returns

• (::Array<::String>) — Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.