Question : scikit learn svm
Answered by : determined-dotterel-ajf651cozv1e
from sklearn import svm
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = svm.SVC()
clf.fit(X, y)
clf.predict([[2., 2.]])Source : https://scikit-learn.org/stable/modules/svm.html | Last Update : Wed, 05 Aug 20
Question : support vector machine svm using python numerical example
Answered by : nice-nightingale-eqy7zoz29ofk
print(digits.data)Source : https://pythonprogramming.net/support-vector-machine-svm-example-tutorial-scikit-learn-python/ | Last Update : Tue, 17 Nov 20