python报错：使用lgb过程中报错：DataFrame.dtypes for data must be int, float or bool
2018-11-02 12:05
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产生原因：用来训练的样本中包含了非 int, float or bool的数据类型
修改：增加部分代码
from sklearn import preprocessing lbl = preprocessing.LabelEncoder() train_x['acc_id1'] = lbl.fit_transform(train_x['acc_id1'].astype(str))#将提示的包含错误数据类型这一列进行转换
LabelEncoder 可以用来规范标签也可以转换非数字标签（只要它们具有可比性）。
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