def search_runs(self, experiment_ids, search_expressions, run_view_type):
runs = [run.to_mlflow_entity()
for exp in experiment_ids
for run in self._list_runs(exp, run_view_type)]
if len(search_expressions) == 0:
return runs
return [r for r in runs if all([does_run_match_clause(r, s) for s in search_expressions])]
def search_runs(self, experiment_ids, search_expressions, run_view_type):
runs = []
for experiment_id in experiment_ids:
run_infos = self._list_run_infos(experiment_id, run_view_type)
runs.extend(self.get_run(r.run_uuid) for r in run_infos)
if len(search_expressions) == 0:
return runs
return [run for run in runs if
all([does_run_match_clause(run, s) for s in search_expressions])]
def search_runs(self, experiment_ids, search_expressions):
run_uuids = []
if len(search_expressions) == 0:
for experiment_id in experiment_ids:
run_uuids.extend(self._list_run_uuids(experiment_id))
else:
for experiment_id in experiment_ids:
for run_uuid in self._list_run_uuids(experiment_id):
run = self.get_run(run_uuid)
if all([
does_run_match_clause(run, s)
for s in search_expressions
]):
run_uuids.append(run_uuid)
return [self.get_run(run_uuid) for run_uuid in run_uuids]
