Mads Dabros

@fstandhartinger Just to let you know, I have added support for XGBoost via `SharpLearning.XGBoost`. It is a x64 bit project and supports CPU and GPU learning. It should be available...

Hi Florian, No worries, hope you had a good holiday :-) Thanks for linking to the implementation! There are defenitely still some things that could be improved, a few of...

Hi @diegoful, Thanks for joining and adding to the discussion. Also, thanks for the kind words! I am glad that you find SharpLearning useful and that the design makes sense....

Hi @wasilus, Currently there is no way of stopping the optimizer once it has been started. Might be a feature to add though since it would be a generally useful,...

Hi @EliasCK, Sadly there is currently no easy way to do continued learning via the NeuralNet package. The training loop is hidden inside the [NeuralNetLearner](https://github.com/mdabros/SharpLearnng/blob/master/src/SharpLearning.Neural/Learners/NeuralNetLearner.cs) class with dependencies on local...

Hi @jameschch, Reinforcement learning is without doubt an extremely interesting field, with a lot of focus these days. It is also a field I am interested in learning more about,...

@jameschch I am glad you find SharpLearning terse and to the point, and thanks for the link to Burlap. It looks like a good source for inspiration.

Hi @artemiusgreat, Yes, it should be possible to use a another serializer to serialize/deserialize the models. From the exception my best guess is that the project deserializing the model is...

Hi @petterton , Currently there is no support for providing sample weights. I have a few tasks for adding this to all the learners, however, I have not completed these...

@petterton, I was trying add sample weight support for the XGBoost learners today. However, it seems that the DMatrix implementation in XGBoost.Net, which I am using to interface with the...