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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