Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ModelEvaluationSlice (v1.30.1)

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

#metrics

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

#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.

#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 tabular Models.

#name

def name() -> ::String
Returns
  • (::String) — Output only. The resource name of the ModelEvaluationSlice.

#slice

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