DataConversionWarning： Data with input dtype int32, int64 were all converted to float64 by StandardS
机器学习过程中构建一颗决策树对数据进行标准化，使用下面两段代码
X_train = ss_X.fit_transform(X_train)
X_test = ss_X.transform(X_test)
运行之后出现下面警告
D:\Python\Anaconda3\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int32, int64 were all converted to float64 by StandardScaler.
return self.partial_fit(X, y)
D:\Python\Anaconda3\lib\site-packages\sklearn\base.py:462: DataConversionWarning: Data with input dtype int32, int64 were all converted to float64 by StandardScaler.
return self.fit(X, **fit_params).transform(X)
【解决方案】
将代码改成如下所示就可以
X_train = ss_X.fit_transform(X_train.astype(float))
X_test = ss_X.transform(X_test.astype(float))
再次运行就不会出现这样的警告了，希望对你有所帮助。
TypeError: Cannot cast array data from dtype(‘int64‘) to dtype(‘int32‘) according to the rule ‘safe‘
错误提示：TypeError: Cannot cast array data from dtype('int64') to dtype('int32'
