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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>.