I am trying do an Image Classification where each sample of training data contains data of the current pixel with the 8 surrounding ones.
Where can I find examples of SVM, in python, that use 5 or more features in training?
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By modifying the $2$-dimensional example in scikit Documentation about SVM, we have this $5$ dimensional example.
from sklearn import svm X = [[0, 0, 0, 0, 0], [1, 1, 1, 1, 1]] y = [0, 1] clf = svm.SVC() clf.fit(X, y) print(clf.predict([[2., 2., 2., 2., 2.], [-1 for i in range(5)]]))
You can read more about the parameters option of SVC here