Source code for nvflare.app_opt.xgboost.data_loader

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from abc import ABC, abstractmethod
from typing import Tuple

import xgboost as xgb


[docs] class XGBDataLoader(ABC):
[docs] def initialize( self, client_id: str, rank: int, data_split_mode: xgb.core.DataSplitMode = xgb.core.DataSplitMode.ROW ): self._client_id = client_id self._rank = rank self._data_split_mode = data_split_mode
@property def client_id(self): return self._client_id @property def rank(self): return self._rank @property def data_split_mode(self): return self._data_split_mode
[docs] @abstractmethod def load_data(self) -> Tuple[xgb.DMatrix, xgb.DMatrix]: """Loads data for xgboost. Returns: A tuple of train_data, validation_data """ pass