sample/sample.py
def predict_single_ft_vec(clf, ft_vec):
    """
    Predict the class label on a single feature vector.
    :param clf: classifier to be used for prediction
    :param ft_vec: feature vector without label
    :return: class label value
    """
    value = clf.predict(ft_vec)
    return value

    Predict the class label on a single feature vector.
    :param clf: classifier to be used for prediction
    :param ft_vec: feature vector without label
    :return: class label value
    
Predict the class label on a single feature vector.
Predict the class label on a single feature vector .
def predict_single_ft_vec(clf, ft_vec):
    value = clf.predict(ft_vec)
    return value
def predict_single_ft_vec ( clf , ft_vec ) : value = clf . predict ( ft_vec ) return value
Predict the class label on a single feature vector.
Predict the class label on a single feature vector .
"""
    Predict the class label on a single feature vector.
    :param clf: classifier to be used for prediction
    :param ft_vec: feature vector without label
    :return: class label value
    """
class label value
class label value
clf
classifier to be used for prediction
classifier to be used for prediction
ft_vec
feature vector without label
feature vector without label