зеркало из https://github.com/microsoft/LightGBM.git
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@ -4,20 +4,23 @@ import itertools
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import math
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import os
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import pickle
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import psutil
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import random
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import lightgbm as lgb
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import numpy as np
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from scipy.sparse import csr_matrix, isspmatrix_csr, isspmatrix_csc
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from sklearn.datasets import load_svmlight_file, make_multilabel_classification
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from sklearn.metrics import log_loss, mean_absolute_error, mean_squared_error, roc_auc_score, average_precision_score
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from sklearn.model_selection import train_test_split, TimeSeriesSplit, GroupKFold
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import psutil
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import pytest
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from scipy.sparse import csr_matrix, isspmatrix_csc, isspmatrix_csr
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from sklearn.datasets import load_svmlight_file, make_multilabel_classification
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from sklearn.metrics import (average_precision_score, log_loss,
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mean_absolute_error, mean_squared_error,
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roc_auc_score)
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from sklearn.model_selection import (GroupKFold, TimeSeriesSplit,
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train_test_split)
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import lightgbm as lgb
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from .utils import load_boston, load_breast_cancer, load_digits, load_iris
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decreasing_generator = itertools.count(0, -1)
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