Hep-ml

Fixed problems with uboost and theano

- fixed some examples
- updated docs
- added some parameters to GBReweighter

- `hep_ml.speedup` (speeding up predictions) is published
- `hep_ml.splot` (minimalistic splot) is published
- some improvements to reweighter and losses

- awesome Gradient Boosted reweighter is published
https://github.com/arogozhnikov/hep_ml/blob/master/notebooks/DemoReweighting.ipynb
- demonstration of fittting expression with nnet is published
https://github.com/arogozhnikov/hep_ml/blob/master/notebooks/DemoNeuralNetworks.ipynb
- newer & fulller documentation
https://arogozhnikov.github.io/hep_ml/
- some enhancements in `UGradientBoosting` and `losses`


docv0.2.0
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First release of minimized version.
- moved to different repository
- first public version with PyPI support
- completely rewritten gradient boosting and loss functions
- added support of neural networks
- standard interface for losses (including RankBoostLoss)
- REP interface for metrics
- first version of documentation