Saving and loading ML.Net .mdl file

I ended up being able to do this by saving the model using ML.Net's model save method, then using QuantConnect's ObjectStore to save the file as bytes.  ObjectStore saves the bytes to the algorithm's storage folder, which is a Docker mounted folder to the host machine.  This way the model file can be persisted between algorithm executions.

Save block:

            using (var stream = File.Create("mlnet.mdl"))
            {
                MlContext.Model.Save(_trainedModel, _dataSplit.TrainSet.Schema, stream);
            }
            byte[] fileByteArray = File.ReadAllBytes("mlnet.mdl");
            objectStore.SaveBytes("mlnet.mdl", fileByteArray);

Load block:

            using (var stream = new MemoryStream(objectStore.ReadBytes("mlnet.mdl")))
            {
                DataViewSchema dvs;
                _trainedModel = MlContext.Model.Load(stream, out dvs);
            }