def data_to_label(strategy):
print('getting new data to label')
sample = Sample(train_obj.clf, data)
if strategy == "random":
print('random')
X_TOLB, X_NOLB = sample.random(10)
elif strategy == "entropy":
print('entropy')
X_TOLB, X_NOLB = sample.entropy(10)
elif strategy == "entropydrop":
print('entropy dropout')
X_TOLB, X_NOLB = sample.entropy_dropout(10, 5)
return (X_TOLB, X_NOLB)
