rnn20

def padding_(sentences, seq_len):
    """
    do padding on left handside
    ie, if seq_len = 5 and input is [1,2,3] out will be [0,0,1,2,3]

    """
    features = np.zeros((len(sentences), seq_len),dtype=int)
    for ii, review in enumerate(sentences):
        if len(review) != 0:
            features[ii, -len(review):] = np.array(review)[:seq_len]
    return features
    
   
# padding (we will pad to a length of 440)
essay_train_pad = padding_(np.array(essay_train_p),440)
essay_test_pad = padding_(np.array(essay_test_p),440)