Request message for SearchEvaluation.
Optional. To search evaluations, you can filter by the
following: - evaluation_job.evaluation_job_id (the last
part of [EvaluationJob.name][google.cloud.datalabeling.v1be
ta1.EvaluationJob.name]) - 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][google.cloud.da
talabeling.v1beta1.Evaluation.evaluation_job_run_time] that
created the evaluation) -
evaluation_job.evaluation_job_run_time_end (Maximum threshold
for the [evaluationJobRunTime][google.cloud.datalabeling
.v1beta1.Evaluation.evaluation_job_run_time] that created
the evaluation) - evaluation_job.job_state ([EvaluationJo
b.state][google.cloud.datalabeling.v1beta1.EvaluationJob.state
]) - annotation_spec.display_name (the Evaluation contains a
metric for the annotation spec with this [displayName][g
oogle.cloud.datalabeling.v1beta1.AnnotationSpec.display_name])
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][google.cl 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.