Use inline training data in generated Console Project file.

[LittleLittleCloud]

Code Sample

// This file was auto-generated by ML.NET Model Builder. 

using System;
using SampleRecommendation.Model;

namespace SampleRecommendation.ConsoleApp
{
    class Program
    {
        static void Main(string[] args)
        {
            // Create single instance of sample data from first line of dataset for model input
            ModelInput sampleData = new ModelInput()
            {
                UserId = 1,
                MovieId = 1,
                Timestamp = 9.649827E+08F,
            };

            // Make a single prediction on the sample data and print results
            var predictionResult = ConsumeModel.Predict(sampleData);

            Console.WriteLine("Using model to make single prediction -- Comparing actual Rating with predicted Rating from sample data...\n\n");
            Console.WriteLine($"userId: {sampleData.UserId}");
            Console.WriteLine($"movieId: {sampleData.MovieId}");
            Console.WriteLine($"timestamp: {sampleData.Timestamp}");
            Console.WriteLine($"\n\nActual Rating: {sampleData.Rating} \nPredicted Rating: {predictionResult.Score}\n\n");
            Console.WriteLine("=============== End of process, hit any key to finish ===============");
            Console.ReadKey();
        }
    }
}

Fix issue

• Simply CodeGen ( Item 1 )

[LittleLittleCloud]

This is for quite the verbose output from MatrixFactorization trainer

[justinormont]

Some others to test:

• Single.NaN
• Single.PositiveInfinity
• "" (empty string)
• 1 (as boolean)
• "T" (as boolean)

[LittleLittleCloud]

Resolved

[justinormont]

Thanks!