ac3f3222871de9e371e26913472529c353c8ba52,RMDL/RMDL_Text.py,,Text_Classification,#,29

Before Change

        

    if len(x_train) != len(y_train):
        raise ValueError("shape of x_train and y_train must be equal"
                         "The x_train has " + str(len(x_train)) +
                         "The x_train has" +
                         str(len(y_train)))

    if len(x_test) != len(y_test):
        raise ValueError("shape of x_test and y_test must be equal "
                         "The x_train has " + str(len(x_test)) +
                         "The y_test has " +

After Change

        return np.array(encoded)

    if not isinstance(y_train[0], list) and not isinstance(y_train[0], np.ndarray):
        //checking if labels are one hot or not otherwise dense_layer will give shape error 
        
        print("converted_into_one_hot")
        y_train = _one_hot_values(y_train)
        y_test = _one_hot_values(y_test)
            




    if GloVe_needed:
        if glove_directory == "":
            GloVe_directory = GloVe.download_and_extract()
            GloVe_DIR = os.path.join(GloVe_directory, GloVe_file)

Instances