_2_random_proto.py

# the following snippet was provided as starter code by UCSD for the course 
# Machine Learning Fundamentals on edX
def rand_prototypes(M):
    """
    Returns M randomly samples data points and corresponding labels.

    Parameters: 
    M (int): number of data points to be sampled 

    Returns: 
    train_data (numpy array) : the random subset of dataset
    train_labels (numpy array) : labels of randomly selected dataset 
    """
  
    indices = np.random.choice( len(train_labels) , M, replace=False)
    return train_data[indices,:], train_labels[indices]