saealib.PendingEvaluation#
- class saealib.PendingEvaluation(request, status, applied_candidate_ids, last_delivered_sequence=-1, last_acknowledged_sequence=-1, processing=<factory>, buffered_updates=(), reserved_cost=0.0, retry_count=0, checkpointable=False, original_candidate_ids=None, feedback_result=None, fatal_error=None, prediction=None)[ソース]#
ベースクラス:
objectSerializable record for submitted work.
- パラメータ:
request (EvaluationRequest)
status (EvaluationStatus)
applied_candidate_ids (ndarray)
last_delivered_sequence (int)
last_acknowledged_sequence (int)
processing (Mapping[int, str])
buffered_updates (tuple[EvaluationUpdate, ...])
reserved_cost (float)
retry_count (int)
checkpointable (bool)
original_candidate_ids (ndarray | None)
feedback_result (Any)
fatal_error (EvaluationErrorInfo | None)
prediction (Any)
Methods
Method Details
- PendingEvaluation.__init__(request, status, applied_candidate_ids, last_delivered_sequence=-1, last_acknowledged_sequence=-1, processing=<factory>, buffered_updates=(), reserved_cost=0.0, retry_count=0, checkpointable=False, original_candidate_ids=None, feedback_result=None, fatal_error=None, prediction=None)#
- パラメータ:
request (EvaluationRequest)
status (EvaluationStatus)
applied_candidate_ids (ndarray)
last_delivered_sequence (int)
last_acknowledged_sequence (int)
processing (Mapping[int, str])
buffered_updates (tuple[EvaluationUpdate, ...])
reserved_cost (float)
retry_count (int)
checkpointable (bool)
original_candidate_ids (ndarray | None)
feedback_result (Any)
fatal_error (EvaluationErrorInfo | None)
prediction (Any)
- 戻り値の型:
None