패키지 설정 from lightgbm import LGBMClassifier, LGBMRegressor Coarse Search n_estimators = 10 num_loop = 10 early_stopping_rounds = 20 coarse_hyperparameters_list = [] for loop in tqdm_notebook(range(num_loop)): learning_rate = 10 ** np.random.uniform(low = -10, high = 1) num_leaves = np.random.randint(2, 500) max_bin = np.random.randint(2, 500) min_child_samples = np.random.randint(2, 500) subsample = np.random.uniform(low = 0.1, high = 1.0) colsample_bytree = np.random.uniform(low = 0.1, high = 1....
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BestModel
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BestParameter
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CoraseSearch
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FineSearch
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LightGBM
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매개변수최적화
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머신러닝
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모델튜닝
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