[scikit-learn] Why do DTs have a different fit protocol than NB and SVMs?
Graham Arthur Mackenzie
graham.arthur.mackenzie at gmail.com
Tue Dec 13 15:14:43 EST 2016
Hello All,
I hope this is the right way to ask a question about documentation.
In the doc for Decision Trees
<http://scikit-learn.org/stable/modules/tree.html#tree>, the fit statement
is assigned back to the classifier:
clf = clf.fit(X, Y)
Whereas, for Naive Bayes
<http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html>
and Support Vector Machines
<http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>,
it's just:
clf.fit(X, Y)
I assumed this was a typo, but thought I should try and verify such before
proceeding under that assumption. I appreciate any feedback you can provide.
Thank You and Be Well,
Graham
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20161213/8bbeacdb/attachment.html>
More information about the scikit-learn
mailing list