Python sklearn：关闭警告
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sklearn: Turning off warnings
提问by hlin117
When I'm fitting sklearn's LogisticRegressionusing a 1 column python pandasDataFrame(not a Seriesobject), I get this warning:
当我安装sklearn的LogisticRegression使用1列蟒pandasDataFrame（不是Series对象），我得到这样的警告：
/Library/Python/2.7/site-packages/sklearn/preprocessing/label.py:125:
DataConversionWarning: A column-vector y was passed when a 1d array was
expected. Please change the shape of y to (n_samples, ), for example using
ravel().
y = column_or_1d(y, warn=True)
I know I could easily advert this warning in my code, but how can I turn off these warnings?
我知道我可以轻松地在代码中发布此警告，但如何关闭这些警告？
采纳答案by hlin117
回答by Salvador Dali
Actually the warning tells you exactly what is the problem:
实际上，警告会确切地告诉您问题是什么：
You pass a 2d array which happened to be in the form (X, 1), but the method expects a 1d array and has to be in the form (X, ).
您传递了一个 2d 数组，该数组碰巧在 form 中(X, 1)，但该方法需要一个 1d 数组并且必须在 form 中(X, )。
Moreover the warning tells you what to do to transform to the form you need: y.ravel(). So instead of suppressing a warning it is better to get rid of it.
此外，警告会告诉您如何转换为您需要的形式：y.ravel(). 因此，与其抑制警告，不如摆脱它。
回答by Jeffrey Zhou
You can use this:
你可以使用这个：
import warnings
from sklearn.exceptions import DataConversionWarning
warnings.filterwarnings(action='ignore', category=DataConversionWarning)
