Python SKLearn: TypeError: __init__() 得到了一个意外的关键字参数 n_splits
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SKLearn: TypeError: __init__() got an unexpected keyword argument n_splits
提问by bclayman
I'm trying to use SKLearn (version 0.18.1) as follows:
我正在尝试使用 SKLearn（版本 0.18.1），如下所示：
from sklearn.model_selection import KFold
kfold = KFold(n_splits=5, random_state=100)
But I get this strange error:
但是我收到了这个奇怪的错误：
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-17-b8dd4f5596be> in <module>()
----> 1 kfold = KFold(k=5, random_state=100)
2 results = cross_val_score(estimator, X, Y, cv=kfold)
3 print("Results: %.2f (%.2f) MSE" % (results.mean(), results.std()))
TypeError: __init__() got an unexpected keyword argument 'k'
I've consulted the docs here:
我在这里查阅了文档：
http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
and n_splitsdoes look like a parameter I should be able to pass...
并且n_splits确实看起来像一个我应该能够传递的参数......
Any idea what's going on here / how to fix?
知道这里发生了什么/如何解决吗？
Thanks!
谢谢！
回答by rriccilopes
回答by seralouk
Open your terminal (cmd) and try these before you try to import the sklearn.
在尝试导入 sklearn 之前，打开您的终端 (cmd) 并尝试这些。
pip install -U scikit-learn
or if you have anaconda installed
或者如果您安装了 anaconda
conda install scikit-learn
or
或者
conda update conda
conda update scikit-learn
Also make sure your have numpy and scipy:
还要确保你有 numpy 和 scipy：
pip install numpy
pip install scipy
Restart the python shell after installing scipy !
安装 scipy 后重启 python shell！
回答by Amaan Gigani
Use capital X in the brackets. It worked for me.
在括号中使用大写 X。它对我有用。
from sklearn.model_selection import cross_val_score
accuracies = cross_val_score(estimator = classifier, X = x_train, y = y_train, cv = 10)
