from skrvm import RVC
from sklearn.datasets import load_iris
if __name__ == "__main__":
clf = RVC()
clf.verbose = True # Print iteration, alpha, beta, gamma, m, Relevance vectors
data = load_iris()
trainData = data.data
trainTargets = data.target
print(clf.fit(trainData, trainTargets))
#print(clf.score(trainData, trainTargets))
