Source code for secretflow.ml.boost.ss_xgb_v.core.utils
# Copyright 2022 Ant Group Co., Ltd.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# https://www.apache.org/licenses/LICENSE-2.0
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from secretflow.data import FedNdarray, PartitionWay
from secretflow.data.vertical import VDataFrame
from typing import Union, Tuple
import math
[docs]def prepare_dataset(
ds: Union[FedNdarray, VDataFrame]
) -> Tuple[FedNdarray, Tuple[int, int]]:
"""
check data setting and get total shape.
Args:
ds: input dataset
Return:
First: dataset in unified type
Second: shape concat all partition.
"""
assert isinstance(
ds, (FedNdarray, VDataFrame)
), f"ds should be FedNdarray or VDataFrame, got {type(ds)}"
ds = ds if isinstance(ds, FedNdarray) else ds.values
assert ds.partition_way == PartitionWay.VERTICAL, (
"SS XGB Only support vertical dataset, "
"for horizontal dataset please use secreflow.ml.boost.homo_boost"
)
shape = ds.shape
assert math.prod(shape), f"not support empty dataset, shape {shape}"
return ds, shape