So the issue here is twofold:
* The training set you are using can be perfectly modeled by the weak learner
in a single iteration of AdaBoost. But the AdaBoost code does not handle this
as well as it could.
* There is some problem serializing `nan` values in text and binary format.
I have some ideas for how to fix it but at the moment I don't have the time.
If you train on a more difficult dataset, I think that you are not likely to
see this problem. Still, I will fix it when I have a chance! :)
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