RunModel

pydantic model openapi_client.models.run_model.RunModel

Request body for POST /datasets/{id}/files/models/{modelid}/run.

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

Dataset file name to run the model against.

field instance_type: Optional[StrictStr] = None (alias 'InstanceType')

Optional SageMaker transform instance type override.

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

Optional target dataset id for model output.

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 RunModel 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 RunModel from a dict

Return type:

Optional[Self]