# 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",
]

# 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']
