MLModelsRunStatusesModelrunBatchTransformationJobsInner

pydantic model openapi_client.models.ml_models_run_statuses_modelrun_batch_transformation_jobs_inner.MLModelsRunStatusesModelrunBatchTransformationJobsInner

MLModelsRunStatusesModelrunBatchTransformationJobsInner

Fields:

• batch_run_status (str | None)

• batch_transform_job_id (str | None)

• error_message (str | None)

field batch_transform_job_id: Optional[StrictStr] = None (alias 'BatchTransformJobId')

field batch_run_status: Optional[StrictStr] = None (alias 'BatchRunStatus')

field error_message: Optional[StrictStr] = None (alias 'ErrorMessage')

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 MLModelsRunStatusesModelrunBatchTransformationJobsInner 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 MLModelsRunStatusesModelrunBatchTransformationJobsInner from a dict

Return type:

Optional[Self]