``fit`` returns ``self``:
http://scikit-learn.org/dev/developers/index.html#fitting
so they are identical.
The motivation is that you can write
clf = svm.SVC().fit(X, y)
On 01/28/2015 03:00 PM, Pagliari, Roberto wrote:
Perhaps, this is a dumb question, but I saw both the alternatives
below for using a classifier. I guess that regardless of whether you
have clf = clf.fit or just clf.fit, the result does not change and you
can invoke clf._attribute_ with any of the alternatives below.
Thanks,
*>>> **from**sklearn.ensemble**import*RandomForestClassifier
*>>> *X =[[0, 0], [1, 1]]
*>>> *Y =[0, 1]
*>>> *clf =RandomForestClassifier(n_estimators=10)
*>>> *clf =clf.fit(X, Y)
*>>>**from* *sklearn* *import* svm
*>>>*X = [[0, 0], [1, 1]]
*>>>*y = [0, 1]
*>>>*clf = svm.SVC()
*>>>*clf.fit(X, y)
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