Bigml

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- Providing local deepnet predictions default for Windows OS that cannot
handle images predictions.

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- Changing user's status endpoint retrieval to a lightweight version.

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- Removing all nose dependencies in tests.

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- Removing traces and refactoring Flatline interpreter invocation.
- Migrating tests to pytest.

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- Enabling local models to generate the transformations pipeline used in
training to be able to apply it locally to input data for predictions.
- Refactoring local models to bring the feature extraction capabilities to
the transformations pipeline.
- Rounding local numeric predictions and scores to 5 digits.
- Improving Pipelines and Image Processing documentation.

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- Fixing local batch_prediction method on DataFrames.
- Improving the training examples method in the Fields class to produce
examples of categorical field values following their original distribution.