how to save a scikit-learn pipline with keras regressor inside to disk?

I have a scikit-learn pipline with kerasRegressor in it: estimators = [ ('standardize', StandardScaler()), ('mlp', KerasRegressor(build_fn=baseline_model, nb_epoch=5, batch_size=1000, verbose=1)) ] pipeline = Pipeline(estimators) After, training the pipline, I am trying to save to disk using joblib... joblib.dump(pipeline, filename , compress=9) But I am getting an error: RuntimeError: maximum recursion depth exceeded How would you save the pipeline to disk?