MLModelsRunStatusesModelrunsInner

pydantic model openapi_client.models.ml_models_run_statuses_modelruns_inner.MLModelsRunStatusesModelrunsInner

MLModelsRunStatusesModelrunsInner

Fields:

• current_state (str | None)

• dataset_id (str | None)

• error_message (str | None)

• file_name (str | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• model_id (str | None)

• model_run_id (str | None)

• run_status (str | None)

• target_dataset_id (str | None)

field run_status: Optional[StrictStr] = None (alias 'RunStatus')

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

field dataset_id: Optional[StrictStr] = None (alias 'DatasetId')

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

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

field model_run_id: Optional[StrictStr] = None (alias 'ModelRunId')

field model_id: Optional[StrictStr] = None (alias 'ModelId')

field current_state: Optional[StrictStr] = None (alias 'CurrentState')

field target_dataset_id: Optional[StrictStr] = None (alias 'TargetDatasetId')

field file_name: Optional[StrictStr] = None (alias 'FileName')

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 MLModelsRunStatusesModelrunsInner 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 MLModelsRunStatusesModelrunsInner from a dict

Return type:

Optional[Self]