Mabwiser

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major:
- simulator script is added for experimentation
- rollback neighborhood calculation to iterative
- no more scikit-learn dependency

minor:
- _convert_array() and _convert_matrix() for efficient numpy transformations

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major:
- speed-up in neighborhood calculation.
- This change requires scikit-learn>=0.20.0
- Big thanks to Nicholas Cilfone for this pull request!

minor:
- the change in neighborhood calculation allows combining _predict_operation for radius and knearest

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major:
- speed-ups in greedy, ucb, softmax, thompson, and contextual mab
- speed-up numpy _convert_context with row major C arrays

minor:
- numpy _convert function for decision & rewards
- api docstring _convert_context return type fixed
- typo fix in website rst contributing and installation
- replace k in dict.keys() with faster version k in dict
- remove arm_expectation = 0 from uptake_arms in softmax/thompson/ucb

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- Initial public release.

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- Development starts. Unstable.