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@@ -94,7 +94,7 @@ class LightGBM(object):
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'min_child_samples': trial.suggest_int('min_child_samples', 5, 100),
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}
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- gbm = lgb.train(param, dtrain, valid_sets=[dvalid], early_stopping_rounds=100, verbose_eval=False)
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+ gbm = lgb.train(param, dtrain, valid_sets=[dvalid], verbose_eval=False)
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preds = gbm.predict(X_test)
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pred_labels = np.rint(preds)
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accuracy = accuracy_score(Y_test, pred_labels)
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