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__init__.py
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__init__.py
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# coding: utf-8
"""LightGBM, Light Gradient Boosting Machine.
Contributors: https://github.com/microsoft/LightGBM/graphs/contributors.
"""
from pathlib import Path
from .basic import Booster, Dataset, Sequence, register_logger
from .callback import EarlyStopException, early_stopping, log_evaluation, record_evaluation, reset_parameter
from .engine import CVBooster, cv, train
try:
from .sklearn import LGBMClassifier, LGBMModel, LGBMRanker, LGBMRegressor
except ImportError:
pass
try:
from .plotting import create_tree_digraph, plot_importance, plot_metric, plot_split_value_histogram, plot_tree
except ImportError:
pass
try:
from .dask import DaskLGBMClassifier, DaskLGBMRanker, DaskLGBMRegressor
except ImportError:
pass
_version_path = Path(__file__).absolute().parent / "VERSION.txt"
if _version_path.is_file():
__version__ = _version_path.read_text(encoding="utf-8").strip()
__all__ = [
"Dataset",
"Booster",
"CVBooster",
"Sequence",
"register_logger",
"train",
"cv",
"LGBMModel",
"LGBMRegressor",
"LGBMClassifier",
"LGBMRanker",
"DaskLGBMRegressor",
"DaskLGBMClassifier",
"DaskLGBMRanker",
"log_evaluation",
"record_evaluation",
"reset_parameter",
"early_stopping",
"EarlyStopException",
"plot_importance",
"plot_split_value_histogram",
"plot_metric",
"plot_tree",
"create_tree_digraph",
]