(
    name: str, grids: Iterable[Mapping[str, V]]
)
return [nest_HPparams(name, grid) for grid in grids]
Given the name of an operator in a pipeline, this transforms every key(parameter name) in the grids
    to use the operator name as a prefix (separated by __).  This is the convention in scikit-learn pipelines.
Given the name of an operator in a pipeline, this transforms every key(parameter name) in the grids
    to use the operator name as a prefix (separated by __).  This is the convention in scikit-learn pipelines.
Given the name of an operator in a pipeline this transforms every key ( parameter name ) in the grids to use the operator name as a prefix ( separated by __ ) . This is the convention in scikit - learn pipelines .
def nest_all_HPparams(
    name: str, grids: Iterable[Mapping[str, V]]
) -> List[Dict[str, V]]:
    """Given the name of an operator in a pipeline, this transforms every key(parameter name) in the grids
    to use the operator name as a prefix (separated by __).  This is the convention in scikit-learn pipelines.
    """
    return [nest_HPparams(name, grid) for grid in grids]
def nest_all_HPparams ( name : str , grids : Iterable [ Mapping [ str , V ] ] ) -> List [ Dict [ str , V ] ] : return [ nest_HPparams ( name , grid ) for grid in grids ]