public static void UseModelForSinglePrediction(MLContext mlContext, ITransformer model)
{
Console.WriteLine("=============== Making a prediction ===============");
var predictionEngine = mlContext.Model.CreatePredictionEngine <CourseRatingMl, RatingPrediction>(model);
var testInput = new CourseRatingMl()
{
UserId = "74c5626f-d9fd-3e60-58f0-de76324067cc", CourseId = 10
};
var courseRatingPrediction = predictionEngine.Predict(testInput);
if (Math.Round(courseRatingPrediction.Score, 1) > 3.5)
{
Console.WriteLine("Course " + testInput.CourseId + " is recommended for user " + testInput.UserId);
}
else
{
Console.WriteLine("Course " + testInput.CourseId + " is not recommended for user " + testInput.UserId);
}
}
public static void PredictAll(MLContext mlContext, ITransformer model)
{
Console.WriteLine("=============== Making a prediction ===============");
var predictionEngine = mlContext.Model.CreatePredictionEngine <CourseRatingMl, RatingPrediction>(model);
var pedro = "34b357c6-4f3b-4eb6-af4e-e2a5367ad58e";
var som = "74c5626f-d9fd-3e60-58f0-de76324067cc";
List <CourseWithRatingPrediction> tmp = new List <CourseWithRatingPrediction>();
for (int i = 0; i < 52; i++)
{
var testInput = new CourseRatingMl()
{
UserId = pedro, CourseId = i
};
var courseRatingPrediction = predictionEngine.Predict(testInput);
var label = Math.Round(courseRatingPrediction.Rating, 1);
var score = Math.Round(courseRatingPrediction.Score, 1);
tmp.Add(new CourseWithRatingPrediction
{
CourseId = i,
RatingPrediction = new RatingPrediction
{
Rating = (float)label,
Score = (float)score
}
});
}
tmp = tmp.OrderByDescending(c => c.RatingPrediction.Score).ToList();
foreach (var courseWithRatingPrediction in tmp)
{
Console.WriteLine(
$"{courseWithRatingPrediction.CourseId} -- {courseWithRatingPrediction.RatingPrediction.Rating} --- {courseWithRatingPrediction.RatingPrediction.Score}");
}
Console.WriteLine($"Done");
}
