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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def learn(epochs, verbose_epoch, X_train, y_train, test, learning_rate, weight_decay, batch_size):
 """Trains the model and predicts on the test data set."""

    net = get_net()
    _ = train(net, X_train, y_train, epochs, verbose_epoch, learning_rate,
                 weight_decay, batch_size)
    preds = net(X_test).asnumpy()
    test['SalePrice'] = pd.Series(preds.reshape(1, -1)[0])
    submission = pd.concat([test['Id'], test['SalePrice']], axis=1)
    submission.to_csv('submission.csv', index=False)