59 lines
1.1 KiB
Python
59 lines
1.1 KiB
Python
"""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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from .core import (
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DMatrix,
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DeviceQuantileDMatrix,
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Booster,
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DataIter,
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build_info,
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_py_version,
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)
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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__ = _py_version()
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__all__ = [
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# core
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"DMatrix",
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"DeviceQuantileDMatrix",
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"Booster",
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"DataIter",
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"train",
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"cv",
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# utilities
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"RabitTracker",
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"build_info",
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"plot_importance",
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"plot_tree",
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"to_graphviz",
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"set_config",
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"get_config",
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"config_context",
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# sklearn
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"XGBModel",
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"XGBClassifier",
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"XGBRegressor",
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"XGBRanker",
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"XGBRFClassifier",
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"XGBRFRegressor",
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# dask
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"dask",
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]
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