Class SearchEvaluationsRequest (0.4.2)

Request message for SearchEvaluation.

Optional. To search evaluations, you can filter by the following: - evaluation_job.evaluation_job_id (the last part of [][]) - evaluation_job.model_id (the {model_name} portion of [EvaluationJob.modelVersion][google .cloud.datalabeling.v1beta1.EvaluationJob.model_version]) - evaluation_job.evaluation_job_run_time_start (Minimum threshold for the [evaluationJobRunTime][ talabeling.v1beta1.Evaluation.evaluation_job_run_time] that created the evaluation) - evaluation_job.evaluation_job_run_time_end (Maximum threshold for the [evaluationJobRunTime][ .v1beta1.Evaluation.evaluation_job_run_time] that created the evaluation) - evaluation_job.job_state ([EvaluationJo b.state][ ]) - annotation_spec.display_name (the Evaluation contains a metric for the annotation spec with this [displayName][g]) To filter by multiple critiera, use the AND operator or the OR operator. The following examples shows a string that filters by several critiera: "evaluation_job.evaluation_job_id = {evaluation_job_id} AND evaluationjob.model_id = {model_name} AND evaluationjob.evaluation_job_run_time_start = {timestamp_1} AND evaluationjob.evaluation_job_run_time_end = {timestamp_2} AND annotationspec.display_name = {display_name}"

Optional. A token identifying a page of results for the server to return. Typically obtained by the [nextPageToken][ oud.datalabeling.v1beta1.SearchEvaluationsResponse.next_page_t oken] of the response to a previous search request. If you don’t specify this field, the API call requests the first page of the search.


builtins.object > google.protobuf.pyext._message.CMessage > builtins.object > google.protobuf.message.Message > SearchEvaluationsRequest