MLModelsRunStatuses

pydantic model openapi_client.models.ml_models_run_statuses.MLModelsRunStatuses

Model run status payload for GET /datasets/{id}/files/models/runstatus. Either modelruns[] (list by filename or all runs) or modelrun (aggregate when ModelRunId is queried).

Fields:

• modelrun (openapi_client.models.ml_models_run_statuses_modelrun.MLModelsRunStatusesModelrun | None)

• modelruns (List[openapi_client.models.ml_models_run_statuses_modelruns_inner.MLModelsRunStatusesModelrunsInner] | None)

field modelruns: Optional[List[MLModelsRunStatusesModelrunsInner]] = None

Per-file or dataset-wide model run records.

field modelrun: Optional[MLModelsRunStatusesModelrun] = None

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of MLModelsRunStatuses from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of MLModelsRunStatuses from a dict

Return type:

Optional[Self]