snorkelflow.client.applications.create_classification_application

snorkelflow.client.applications.create_classification_application(application_name, dataset, input_schema, labels, label_col=None)

Create an application with a classification block.

Parameters:

• application_name (str) – The name of the new application

• dataset (Union[str, int]) – The name or UID of the dataset which the application will use

• input_schema (List[str]) – A list of columns (from the dataset)

• labels (List[str]) – A string list of labels for the task

• label_col (Optional[str], default: None) – An optional string name of a dataset column that contains labels

Returns:

The created application object

Return type:

Dict[str, Any]

Examples

>>> sf.create_classification_application(
>>>     APP_NAME,
>>>     dataset=DATASET_NAME,
>>>     input_schema=["field1", "field2"],
>>>     labels=["label1", "label2"],
>>>     label_col="label",
>>> )
{
    'application_uid': <application_uid>,
    'name': <name>,
    'dataset_uid': <dataset_uid>,
    'description': <description>,
    'application_config': <application_config_dict>, # Contains input schema
    'created_at': <timetamp>,
    'node_dag': <node_dag>,  # contains list of nodes and it's input node
    'access_config': <access_config>,
    'hydrated_node_dag': <hydrated_node_dag> # Contains list of it's node and it's config
}