Module markov.dispatchers.recording.model_recording_dispatch
Classes
class MKVRecordingUtils-
Static methods
def end_run_and_compute_metric(recorder_id: str, force_recompute: bool = False) ‑> dictdef get_recording_info(recording_id: str) ‑> Dictdef get_recording_metrics(recording_id: str)def get_recordings(limit: int = 10, decreasing: bool = True) ‑> List-
Get the number of recordings requested by this customer that has been registered agains this customer id.
Args
limit- Number of recordings to be retrieved.
decreasing- True if is is from newer to older.
Returns
Recordings in ascending or descending order.
def register_evaluation_recording(evaluation_recording: EvaluationRecording) ‑> ModelRecorderRegResponse-
Create the model output run.
Args
evaluation_recording: Returns:
def register_model_recorder(mo_config: ModelRecordingConfig) ‑> ModelRecorderRegResponse-
Create the model output run.
Args
mo_config: Returns:
def send_inference_record(inference_records: List, recorder_id: str) ‑> List-
Send the inference record to the backend for storing and computation of metric.
Args
inference_records: recorder_id: Returns: