35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
# coding: utf-8
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"""XGBoost: eXtreme Gradient Boosting library.
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Contributors: https://github.com/dmlc/xgboost/blob/master/CONTRIBUTORS.md
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"""
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import os
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from .core import DMatrix, DeviceQuantileDMatrix, Booster, DataIter
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from .training import train, cv
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from . import rabit # noqa
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from . import tracker # noqa
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from .tracker import RabitTracker # noqa
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from . import dask
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try:
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from .sklearn import XGBModel, XGBClassifier, XGBRegressor, XGBRanker
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from .sklearn import XGBRFClassifier, XGBRFRegressor
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from .plotting import plot_importance, plot_tree, to_graphviz
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from .config import set_config, get_config, config_context
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except ImportError:
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pass
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VERSION_FILE = os.path.join(os.path.dirname(__file__), 'VERSION')
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with open(VERSION_FILE, encoding="ascii") as f:
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__version__ = f.read().strip()
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__all__ = ['DMatrix', 'DeviceQuantileDMatrix', 'Booster', 'DataIter',
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'train', 'cv',
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'RabitTracker',
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'XGBModel', 'XGBClassifier', 'XGBRegressor', 'XGBRanker',
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'XGBRFClassifier', 'XGBRFRegressor',
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'plot_importance', 'plot_tree', 'to_graphviz', 'dask',
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'set_config', 'get_config', 'config_context']
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