Mads Dabros

@festith Seems a PR has already been made: https://github.com/PicNet/XGBoost.Net/pull/28 If it is merged I will update the package for Sharplearning, and that should provide support for .net core 2.1.

@fbraun4358 I agree on that observation. Might be time for a new C# wrapper for XGBoost. I have been thinking of making one, but I have not had the time...

@coffeebenzene Sadly they did not publish a new nuget package it seems: https://www.nuget.org/packages/PicNet.XGBoost/ If I can get them to publish one, I will upgrade SharpLearning.

@JimSEOW No reason to apologize and thank you for reaching out and creating focus on deep learning in Net. I am very honored that you have added SharpLearning to the...

Hi @Yandychang1 Not sure if you already found an alternative for this. It is possible to load using a `StreamReader` for all models except for the XGBoost models sadly. The...

HI @Emzzy241, Sorry for the slow response. I would suggest the following steps: 1. Download and install visual studio 2022 community edition: https://visualstudio.microsoft.com/vs/community/ 2. Clone the examples repository: https://github.com/mdabros/SharpLearning.Examples. 3....

Hi @pjsgsy Thanks for finding the error in the code example. My time for this project is limited at the moment. I still try to do my best answering questions...

Hi @marict, Might be. SharpLearning is limited by the version used in `https://github.com/PicNet/XGBoost.Net` since it just wraps that library. You can try to encourage them to update to the latest...

Hi @SULVAL, Yes, most of the learners write some information via `Trace.WriteLine`. It is a bit simplistic. You can get the information written to a source by adding to trace...

Hej Mads ;-). I am actually working on a replacement for XGBoost.NET based on XGBoost 2.0. It is based on the code from XGBoost.NET, but will eventually be more feature...