load_feature.py 文件源码

def load_Y(X_signals_paths):
    """
    Given attribute (train or test) of feature, read all 9 features into an
    np ndarray of shape [sample_sequence_idx, time_step, feature_num]
        argument:   X_signals_paths str attribute of feature: 'train' or 'test'
        return:     np ndarray, tensor of features
    """
    X_signals = []

    for signal_type_path in X_signals_paths:
        file = open(signal_type_path, 'rb')
        # Read dataset from disk, dealing with text files' syntax
        X_signals.append(
            [np.array(serie, dtype=np.int) for serie in [
                row.strip().split(' ') for row in file
            ]]
        )
        file.close()


    return np.concatenate((X_signals[0],X_signals[1],X_signals[2],X_signals[3],X_signals[4],X_signals[5],X_signals[6]),axis=0)