CODEWITHSUNDEEP
pythonscikit-learn
paveltr
paveltr

Reputation: 474

explained_variance_ratio_ in sklearn.discriminant_analysis

I am trying to use explained_variance_ratio_ in sklearn 17.1.

In sklearn docs it is described as attribute to LinearDiscriminantAnalysis class.

But how to apply it?

My code is 

from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as lda

clf = lda(solver='eigen', shrinkage = 'auto')

clf.fit((tr_train, targ_train)

Basically, I was trying

lda.explained_variance_ratio_(tr_train)

But I have got

AttributeError: 'LinearDiscriminantAnalysis' object has no attribute 'explained_variance_ratio_'

Upvotes: 1

Views: 3002

Answers (1)

Abhishek Thakur
Abhishek Thakur

Reputation: 17015

I think what you are looking for can be achieved by :

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_

Upvotes: 2

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