Bigml

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- Adding error to regression local predictions using proportional missing
strategy.

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- Adding proportional missing strategy to MultiModel and solving tie breaks
in remote predictions.
- Adding new output options to model's python, rules and tableau outputs:
ability to extract the branch of the model leading to a certain node with
or without the hanging subtree.
- Adding HTTP_TOO_MANY_REQUESTS error handling in REST API calls.

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- Adding Tableau-ready ouput to local model code generators.

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- Fixing getters: getter for batch predictions was missing.

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- Improving BaseModel and Model. If they receive a partial model
structure with a correct model id, the needed model resource is downloaded
and stored (if storage is enabled in the given api connection).
- Improving local ensemble. Adding a new `fields` attribute that
contains all the fields used in its models.

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- Adding a summarize method to local ensembles with data distribution
and field importance information.