Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ModelEvaluationSlice (v0.5.0)

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ModelEvaluationSlice.

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

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 ModelEvaluationSlice was created.

#metrics

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

Returns

• (::Google::Protobuf::Value) — Output only. Sliced 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 ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.

#name

def name() -> ::String

Returns

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

#slice

def slice() -> ::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice::Slice

Returns

• (::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice::Slice) — Output only. The slice of the test data that is used to evaluate the Model.