snorkelflow.operators.dask_extractor

class snorkelflow.operators.dask_extractor(*, input_schema, name=None, resources=None, resources_fn=None, output_schema=None)

Bases: dask_operator

Decorator to define Dask Extractor from a function.

Parameters

Parameters

Name	Type	Default	Info
name	Optional[str]	None	Name of the Operator.
resources	Optional[Dict[str, Any]]	None	Resources passed in to f via kwargs
resources_fn	Optional[Callable[[], Dict[str, Any]]]	None	A function for generating a dictionary of values passed to f via kwargs, that are too expensive to serialize as resources.
input_schema	Dict[str, Any]		Dictionary mapping from column to dtype, used to validate the dtypes of the input dataframe.
output_schema	Optional[Dict[str, Any]]	None	Dictionary mapping from column to dtype, used to validate the dtypes of the output dataframe. If not None, then f must not delete any dataframe columns, and all new columns must be specified along with types in output_schema.

\_\_init\_\_

__init__

__init__(*, input_schema, name=None, resources=None, resources_fn=None, output_schema=None)

Methods

__init__(*, input_schema[, name, resources, ...])