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