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我StandardScaler()用来标准化输入。
如何将预测转换回原始数据？我正在使用以下代码，但它会引发错误。

X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)

#custom inputs for prediction after training
sample = pd.DataFrame({'salary': [1211], 'age': [30]})
sample = sc.transform(sample)
sample_predict = sc.inverse_transform(sample_predict)

print (sample_predict)
  • 形状X_test：(3000, 2)
  • 形状sample_predict：(1, 2)

错误：

X *= self.scale_
ValueError: non-broadcastable output operand with shape (1,1) doesn't match the broadcast shape (1,2)
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