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This may be another place where #700 will have to be changed, as there are AttributeErrors that are being caught as well, which may not be just due to the Model wrapper not implementing a specific function.
e.g. https://github.com/SeldonIO/seldon-core/blob/master/python/seldon_core/user_model.py#L141
We were hitting this when having a sklearn version mismatch. The end result was that the model returned an empty message and didn't log any error.
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