Class ModelEvaluation (0.8.0)

ModelEvaluation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.


Name Description
name str
Output only. The resource name of the ModelEvaluation.
metrics_schema_uri str
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
metrics google.protobuf.struct_pb2.Value
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
create_time google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this ModelEvaluation was created.
slice_dimensions Sequence[str]
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 =
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.
explanation_specs Sequence[]
Output only. Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.


builtins.object > proto.message.Message > ModelEvaluation



    mapping=None, *, ignore_unknown_fields=False, **kwargs