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@@ -165,9 +165,9 @@ class LightGBM(object):
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bst = lgb.Booster(model_file=self.model)
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y_pred = bst.predict(x, num_iteration=bst.best_iteration)
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pred_score_df = pd.DataFrame(list(y_pred), columns=['pred_score'])
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- temp = sorted(list(y_pred))
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- yuzhi = temp[int(len(temp) * 0.9) - 1]
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- y_pred_binary = [0 if i <= yuzhi else 1 for i in list(y_pred)]
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+ # temp = sorted(list(y_pred))
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+ # yuzhi = temp[int(len(temp) * 0.9) - 1]
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+ y_pred_binary = [0 if i <= 0.5 else 1 for i in list(y_pred)]
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pred_label_df = pd.DataFrame(list(y_pred_binary), columns=['pred_label'])
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score_list = []
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for index, item in enumerate(list(y_pred)):
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