[英]Jupyter notebook is giving error when using MinMaxScalar or StandardScalar?
When performing StandardScalar or MinMaxScalar using PythonAdv kernel the jupyter notebook is printing error.使用 PythonAdv kernel 执行 StandardScalar 或 MinMaxScalar 时,jupyter notebook 打印错误。 However, when using Python 3 environment the same jupyter note book is working fine:
但是,当使用 Python 3 环境时,同一个 jupyter 笔记本工作正常:
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)
Error:错误:
---------------------------------------------------------------------------
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. I have Anaconda 3, python 3.6 and PythonAdv environments on Git Bash on Windows.
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)
There is a small typo.有一个小错字。 you define X_scalar then use X_scaler.
您定义 X_scalar 然后使用 X_scaler。
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