public async Task LoadSubscribedFeeds()
{
var feeds = await _viewPointReaderRepository.GetFeedSubscriptionsAsync();
FeedSubscriptions.Clear();
feeds.ToList().ForEach(FeedSubscriptions.Add);
}
public async Task <ActionResult <IEnumerable <string> > > Get()
{
var result = await _repository.GetFeedSubscriptionsAsync();
return(Ok());
}
public async Task BuildModel()
{
var createBlobContainerTask = CreateBlobContainer();
MLContext mlContext = new MLContext();
try
{
var sourceData = await _feedRepository.GetFeedSubscriptionsAsync();
IDataView trainingData = mlContext.Data.LoadFromEnumerable <FeedData>(FormatFeedData(sourceData));
//trainingData = mlContext.Data.Cache(trainingData);
#region not used
//var pipeline = mlContext.Transforms.Text.FeaturizeText("idFeaturized", nameof(FeedData.Id))
// .Append(mlContext.Transforms.Text.FeaturizeText("keyPhrasesFeaturized", nameof(FeedData.KeyPhrases))
// .Append(mlContext.Transforms.Concatenate("Features", "idFeaturized", "keyPhrasesFeaturized"))
// .Append(mlContext.BinaryClassification.Trainers.FieldAwareFactorizationMachine(new string[]
// {"Features"})));
#endregion
var pipeline = mlContext.Transforms.Text
.FeaturizeText("keyPhrasesFeaturized", nameof(FeedData.KeyPhrases))
.Append(mlContext.Transforms.Concatenate("Features", "keyPhrasesFeaturized"))
.Append(mlContext.BinaryClassification.Trainers.FieldAwareFactorizationMachine(new string[]
{ "Features" }));
//train model
var model = pipeline.Fit(trainingData);
#region manual testing of model
//test model
//var predictionEngine = mlContext.Model.CreatePredictionEngine<FeedData, FeedRecommendation>(model);
//var testFeedData = new FeedData
//{
// KeyPhrases = new string[] {"skating"}
//};
//var testPrediction = predictionEngine.Predict(testFeedData);
#endregion
//save model
var modelMemoryStream = new MemoryStream();
mlContext.Model.Save(model, trainingData.Schema, modelMemoryStream);
modelMemoryStream.Seek(0, SeekOrigin.Begin);
await createBlobContainerTask;
var cloudBlockBlob = _cloudBlobContainer.GetBlockBlobReference("vprrecommendationmodel-mdl");
await cloudBlockBlob.UploadFromStreamAsync(modelMemoryStream);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}