Jupyter notebook 在使用 MinMaxScalar 或 StandardScalar 時出錯？

Question

使用 PythonAdv kernel 執行 StandardScalar 或 MinMaxScalar 時，jupyter notebook 打印錯誤。 但是，當使用 Python 3 環境時，同一個 jupyter 筆記本工作正常：

from sklearn.preprocessing import MinMaxScaler

# Scale X values
X_scalar = MinMaxScaler().fit(X_train)
#print(X_scalar)
X_train_scaled = X_scaler.transform(X_train)
X_test_scaled = X_scaler.transform(X_test)

錯誤：

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-5-e5dc00a586d3> in <module>
      4 X_scalar = MinMaxScaler().fit(X_train)
      5 #print(X_scalar)
----> 6 X_train_scaled = X_scaler.transform(X_train)
      7 X_test_scaled = X_scaler.transform(X_test)

NameError: name 'X_scaler' is not defined

I have Anaconda 3, python 3.6 and PythonAdv environments on Git Bash on Windows.

Answer 1

from sklearn.preprocessing import MinMaxScaler

# Scale X values
X_scaler = MinMaxScaler().fit(X_train)
#print(X_scalar)
X_train_scaled = X_scaler.transform(X_train)
X_test_scaled = X_scaler.transform(X_test)

有一個小錯字。 您定義 X_scalar 然后使用 X_scaler。