SharpLearning makes it very easy to load and save models to disk. This is a very important part of a machine learning library and SharpLearning is among the easiest to implement.
All models in SharpLearning have a Save and a Load method. These methods do the heavy lifting of saving and loading a model for us.
As an example, here we will save a model that we learned to disk:
model.Save(() => StreamWriter(@"C:\randomforest.xml"));
If we want to load this model back in, we simply use the Load method:
varloadedModel = RegressionForestModel.Load(() => newStreamReader(@"C:\randomforest.xml"));
Yep, it’s that easy and simple to load and save your data models. It is also possible for you to save models using serialization. ...
