def _notify_stop(self):
self._train_cache.delete_worker(self._worker_id)
superadmin_client().send_event(
'train_job_worker_stopped',
sub_train_job_id=self._monitor.sub_train_job_id)
def _notify_start(self):
superadmin_client().send_event(
'train_job_worker_started',
sub_train_job_id=self._monitor.sub_train_job_id)
self._train_cache.add_worker(self._worker_id)
def _notify_stop(self):
self._redis_cache.delete_worker(self._worker_id)
superadmin_client().send_event('inference_job_worker_stopped',
inference_job_id=self._inference_job_id)
def _notify_start(self):
superadmin_client().send_event('inference_job_worker_started',
inference_job_id=self._inference_job_id)
self._redis_cache.add_worker(self._worker_id)
def _notify_start(self):
superadmin_client().send_event(
'sub_train_job_advisor_started',
sub_train_job_id=self._monitor.sub_train_job_id)
def _notify_budget_reached(self):
superadmin_client().send_event(
'sub_train_job_budget_reached',
sub_train_job_id=self._monitor.sub_train_job_id)
def _notify_stop(self):
superadmin_client().send_event('predictor_stopped',
inference_job_id=self._inference_job_id)
