DrAnaximandre

Hi, thanks for the repo it's very useful. in `ch3.tex`, there is a small typo in ll71/72, as it should be ``` p(X=1|\alpha, D_{1:3}) = \frac{\alpha_1+ 1}{\alpha + 3} \\...

The master is broken. From what I can see, the test utils argnames in keras have changed (https://github.com/fchollet/keras/blob/master/keras/utils/test_utils.py) so this is a start. Maybe we should not rely on keras...

As the fit_on_gen part is almost finished, can we consider implementing a predict_on_gen function in all the backends? If yes, please attribute it to a milestone.

For now, the model_id is not attributed during the serialization. As a result, it is possible to try a predict on a model that does not have a model_id. -...

Fitting in local returns a string `model_id` whereas fitting in async returns a unicode string. --- Example: * ` Expe = Experiment(model) Expe.fit([data],[data_val]) print(Expe.mod_id)` returns `'7f66b5fdca51fe6fb21f53149e5bba2d'` * `Expe.fit_async([data],[data_val]) print(Expe.mod_id)` returns...

Expected behavior in sklearn backend

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In the sklearn backend: - The following code `Expe.fit([data_0],[])` (providing a validation data that is an empty list) does not return an error, but does not returns a result either....

Repackaging of the cli?

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**OS:** Ubuntu 16.04 LTS **Setup:** brand new machine **Problem:** When installing on a brand new system, we actually require a lot more than just pip and docker. Launching `alp --help`...

The current docker chain system is a bit complicated and difficult to understand given the number of layers. We might want to rework that. - [ ] create full docker...

Add more metrics support in skelarn backend

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So far only the mean absolute error is supported. We could increase that number of supported metrics in a future release. - A first step could be to include other...