Class Evaluation (1.2.4)

Version 1.2.4

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

Describes an evaluation between a machine learning model's predictions and ground truth labels. Created when an EvaluationJob runs successfully.

Attributes
Name	Description
name	str Output only. Resource name of an evaluation. The name has the following format: "projects/{project_id}/datasets/{dataset_id}/evaluations/{evaluation_id}'
config	google.cloud.datalabeling_v1beta1.types.EvaluationConfig Output only. Options used in the evaluation job that created this evaluation.
evaluation_job_run_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp for when the evaluation job that created this evaluation ran.
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp for when this evaluation was created.
evaluation_metrics	google.cloud.datalabeling_v1beta1.types.EvaluationMetrics Output only. Metrics comparing predictions to ground truth labels.
annotation_type	google.cloud.datalabeling_v1beta1.types.AnnotationType Output only. Type of task that the model version being evaluated performs, as defined in the evaluationJobConfig.inputConfig.annotationType field of the evaluation job that created this evaluation.
evaluated_item_count	int Output only. The number of items in the ground truth dataset that were used for this evaluation. Only populated when the evaulation is for certain AnnotationTypes.