private IPredictionTrainerService GetPredictionInstance()
{
IDbConnection connection = new SqlConnection(Configuration.GetConnectionString("SqlConnection"));
var ratingCursoRepository = new RatingCursoRepository(connection);
var cursoRepository = new CursoRepository(connection);
var participanteRepository = new ParticipanteRepository(connection);
var predictionTrainerRepository = new PredictionTrainerRepository(connection);
var predictionTraienerService = new PredictionTrainerService(ratingCursoRepository, cursoRepository, participanteRepository, predictionTrainerRepository, Configuration);
return(predictionTraienerService);
}
static void Main(string[] args)
{
Console.WriteLine("Start Training ML");
IDbConnection connection = new SqlConnection(connectionString);
var ratingCursoRepository = new RatingCursoRepository(connection);
var cursoRepository = new CursoRepository(connection);
var participanteRepository = new ParticipanteRepository(connection);
try
{
int?allItemsInteger = default;
var cursos = cursoRepository.GetCursosAsync(allItemsInteger, allItemsInteger, allItemsInteger, default).Result;
var participantes = participanteRepository.GetParticipantesAsync(allItemsInteger, allItemsInteger).Result;
var ratingCursos = ratingCursoRepository.GetAllAsync().Result;
MatrixFactorizationTrainModel(ratingCursos, cursos, participantes);
}
catch (Exception ex)
{
Console.WriteLine($"Exception: {ex.Message}");
}
Console.WriteLine("End Training ML");
}
