Add SharpLearning.Examples.Integration, And Restructure source folder #3
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mdabros
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This pull request adds the initial
SharpLearning.Examples.Integrationproject. Eventually, this project will show how to integrate and use SharpLearning with other ML framworks like CNTK, TensorFlowSharp, TorchSharp, LightGBM, etc.. Currently, a lot of the SharpLearning code for model validation and data loading is closely tied to SharpLearning types which makes it hard to use the code with other framworks. The initial example shows how to run CrossValidation using a CNTK Model/Learner, with the current SharpLearning code, and a few helper methods. The idea is to build on this example and improve the user experience by refactoring the code for SharpLearning. More examples, also with other frameworks, will follow later.SharpLearning.Examples.Integrationis located in its own solution file. The reason being that most other ML frameworks targets x64 bit only, and hence, the new solution will target x64 only, while the currentSharpLearning.Examplesproject/solution will continue to target AnyCPU.Since the repository now contians two projects/solutions, the
srcfolder has been restructured.