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トップに関する質問optunaを用いたlightGBMの実行時のエラー

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エラーを全文追加いたしました．

2020/08/16 14:31

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kandaaa
kandaaa

スコア5

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@@ -39,19 +39,12 @@
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  ```
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  ---------------------------------------------------------------------------
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  AttributeError Traceback (most recent call last)
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- <ipython-input-55-93a99ccf1f18> in <module>
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+ <ipython-input-72-9371d79f08d8> in <module>
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+ 19 early_stopping_rounds=20,
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+ 20 verbose_eval=True,
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- 1 lgb_results = {} # 学習の履歴を入れる入物
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+ ---> 21 folds=folds
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- ----> 2 model = lgb.train(params,lgb_train)
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+ 22 )
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- ~/OneDrive/research/lab_env/lib/python3.7/site-packages/optuna/_experimental.py in new_func(*args, **kwargs)
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- 62 ),
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- 63 ExperimentalWarning,
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- ---> 64 stacklevel=2,
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- 65 )
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- 66
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-
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- ~/OneDrive/research/lab_env/lib/python3.7/site-packages/optuna/integration/lightgbm_tuner/__init__.py in train(*args, **kwargs)
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-
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  ~/OneDrive/research/lab_env/lib/python3.7/site-packages/optuna/_experimental.py in wrapped_init(self, *args, **kwargs)
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  84 ),
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  85 ExperimentalWarning,
@@ -59,7 +52,7 @@
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  87 )
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  88
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- ~/OneDrive/research/lab_env/lib/python3.7/site-packages/optuna/integration/lightgbm_tuner/optimize.py in __init__(self, params, train_set, num_boost_round, valid_sets, valid_names, fobj, feval, feature_name, categorical_feature, early_stopping_rounds, evals_result, verbose_eval, learning_rates, keep_training_booster, callbacks, time_budget, sample_size, best_params, tuning_history, study, optuna_callbacks, model_dir, verbosity)
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+ ~/OneDrive/research/lab_env/lib/python3.7/site-packages/optuna/integration/lightgbm_tuner/optimize.py in __init__(self, params, train_set, num_boost_round, folds, nfold, stratified, shuffle, fobj, feval, feature_name, categorical_feature, early_stopping_rounds, fpreproc, verbose_eval, show_stdv, seed, callbacks, time_budget, sample_size, study, optuna_callbacks, verbosity)
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  ~/OneDrive/research/lab_env/lib/python3.7/site-packages/optuna/integration/lightgbm_tuner/optimize.py in __init__(self, params, train_set, num_boost_round, fobj, feval, feature_name, categorical_feature, early_stopping_rounds, verbose_eval, callbacks, time_budget, sample_size, study, optuna_callbacks, verbosity)
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