News classifer project is not complete

[SimonBurfield]

Please finish this off, as not covered in videos or anything

public class ConsumeModel { //TODO public static string Predict(string newsTitle) => "UNKNOWN";

}

[SimonBurfield]

I managed to work it out

public class ConsumeModel
    {
        private static Lazy<PredictionEngine<ModelInput, ModelOutput>> PredictionEngine = new Lazy<PredictionEngine<ModelInput, ModelOutput>>(CreatePredictionEngine);

        public static string MLNetModelPath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "Model", "NewsClassificationModel.zip");

        // For more info on consuming ML.NET models, visit https://aka.ms/mlnet-consume
        // Method for consuming model in your app
        public static ModelOutput Predict(string newsTitle)
        {
            ModelOutput result = PredictionEngine.Value.Predict(new ModelInput() { Title = newsTitle });
            return result;
        }

        public static PredictionEngine<ModelInput, ModelOutput> CreatePredictionEngine()
        {
            // Create new MLContext
            MLContext mlContext = new MLContext();

            // Load model & create prediction engine
            ITransformer mlModel = mlContext.Model.Load(MLNetModelPath, out var modelInputSchema);
            var predEngine = mlContext.Model.CreatePredictionEngine<ModelInput, ModelOutput>(mlModel);

            return predEngine;
        }

    }

[skarlman]

Hi,

The TODO is actually left as an exercise for the student, since the principle is covered in earlier sections. Glad you managed to work it out!

Regards Karl