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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.