Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import pandas
- from sklearn.svm import SVC
- df = pandas.read_csv('svm-data.csv', header=None)
- y = df[0]
- X = df.loc[:, 1:]
- model = SVC(kernel='linear', C=100000, random_state=241)
- model.fit(X, y)
- n_sv = model.support_
- n_sv.sort()
- print(n_sv[1:])
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement