(
    op: "PlannedOperator",
    num_samples: Optional[int] = None,
    num_grids: Optional[float] = None,
    pgo: Optional[PGO] = None,
    data_schema: Dict[str, Any] = {},
)
return get_grid_search_parameter_grids(
        op,
        num_samples=num_samples,
        num_grids=num_grids,
        pgo=pgo,
        data_schema=data_schema,
    )
Parameters
    ----------
    op : The lale PlannedOperator
    lale_num_samples : integer, optional
        If set, will limit the number of samples for each distribution
    lale_num_grids: integer or float, optional
        if set to an integer => 1, it will determine how many parameter grids will be returned (at most)
        if set to an float between 0 and 1, it will determine what fraction should be returned
        note that setting it to 1 is treated as in integer.  To return all results, use None
Parameters
    ----------
    op : The lale PlannedOperator
    lale_num_samples : integer, optional
        If set, will limit the number of samples for each distribution
    lale_num_grids: integer or float, optional
        if set to an integer => 1, it will determine how many parameter grids will be returned (at most)
        if set to an float between 0 and 1, it will determine what fraction should be returned
        note that setting it to 1 is treated as in integer.  To return all results, use None
Parameters ---------- op : The lale PlannedOperator lale_num_samples : integer optional If set will limit the number of samples for each distribution lale_num_grids : integer or float optional if set to an integer = > 1 it will determine how many parameter grids will be returned ( at most ) if set to an float between 0 and 1 it will determine what fraction should be returned note that setting it to 1 is treated as in integer . To return all results use None
def get_parameter_grids(
    op: "PlannedOperator",
    num_samples: Optional[int] = None,
    num_grids: Optional[float] = None,
    pgo: Optional[PGO] = None,
    data_schema: Dict[str, Any] = {},
):
    """
    Parameters
    ----------
    op : The lale PlannedOperator
    lale_num_samples : integer, optional
        If set, will limit the number of samples for each distribution
    lale_num_grids: integer or float, optional
        if set to an integer => 1, it will determine how many parameter grids will be returned (at most)
        if set to an float between 0 and 1, it will determine what fraction should be returned
        note that setting it to 1 is treated as in integer.  To return all results, use None
    """
    return get_grid_search_parameter_grids(
        op,
        num_samples=num_samples,
        num_grids=num_grids,
        pgo=pgo,
        data_schema=data_schema,
    )
def get_parameter_grids ( op : "PlannedOperator" , num_samples : Optional [ int ] = None , num_grids : Optional [ float ] = None , pgo : Optional [ PGO ] = None , data_schema : Dict [ str , Any ] = { } , ) : return get_grid_search_parameter_grids ( op , num_samples = num_samples , num_grids = num_grids , pgo = pgo , data_schema = data_schema , )