[英]explained_variance_ratio_ in sklearn.discriminant_analysis
I am trying to use explained_variance_ratio_ in sklearn 17.1. 我想在sklearn 17.1使用explained_variance_ratio_。
In sklearn docs it is described as attribute to LinearDiscriminantAnalysis class. 在sklearn文档中,它被描述为LinearDiscriminantAnalysis类的属性。
But how to apply it? 但是如何应用呢?
My code is 我的代码是
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as lda
clf = lda(solver='eigen', shrinkage = 'auto')
clf.fit((tr_train, targ_train)
Basically, I was trying 基本上我在尝试
lda.explained_variance_ratio_(tr_train)
But I have got 但是我有
AttributeError: 'LinearDiscriminantAnalysis' object has no attribute 'explained_variance_ratio_'
I think what you are looking for can be achieved by : 我认为您所寻找的可以通过以下方式实现:
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as lda
clf = lda(solver='eigen', shrinkage = 'auto')
clf.fit(tr_train, targ_train)
print clf.explained_variance_ratio_
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