def test(var, k, n, m, s, p):
data, labels = kblobs(var, k, n)
hidlabs = myssl.hide_labels(labels, p)
agr = myssl.SSLSolver()
predlabels, _, _ = agr.fit(data, hidlabs, m, s)
print(labels[:20])
print(predlabels[:20])
score = 0
for i in range(n):
if labels[i] == predlabels[i]:
score += 1
print("Score is {} out of {}".format(score, n))
def test(m, s, p):
data, labels = train_data_reduced[:1000, :], train_labels[:1000] + 1
hidlabs = myssl.hide_labels(labels, p)
agr = myssl.SSLSolver()
predlabels, _, _ = agr.fit(data, hidlabs, m, s)
print(labels[:20])
print(predlabels[:20])
score = 0
for i in range(len(labels)):
if labels[i] == predlabels[i]:
score += 1
print("Score is {} out of {}".format(score, len(labels)))