/// <summary>
/// Add new data to Firebase database
/// </summary>
public static async System.Threading.Tasks.Task AddDataToFirebase(GymRepetition newModel)
{
SetResponse response = await client.SetTaskAsync("gymrepetitionprediction/15", newModel);
GymRepetition result = response.ResultAs <GymRepetition>();
Console.WriteLine(result);
}
/// <summary>
/// Predict value
/// </summary>
/// <param name="mlContext"></param>
/// <param name="model"></param>
public static void Predict(MLContext mlContext, ITransformer model, GymRepetition predictionData)
{
var predictionFunction = mlContext.Model.CreatePredictionEngine <GymRepetition, GymRepetitionPrediction>(model);
var prediction = predictionFunction.Predict(predictionData);
Console.WriteLine("Predicted data");
Console.WriteLine($"Weight: {prediction.Weight:0.####}");
Console.ReadLine();
}
/// <summary>
/// Returns object with data inserted by user
/// </summary>
/// <returns></returns>
public static GymRepetition GetUserInputData()
{
var result = new GymRepetition();
Console.WriteLine("Insert exercise name: ");
result.Exercise = Console.ReadLine();
Console.WriteLine("Insert number of repetitions: ");
result.Repetitions = float.Parse(Console.ReadLine());
result.Weight = 0;
return(result);
}
/// <summary>
/// Returns object that consist of data inserted by user
/// </summary>
/// <returns></returns>
public static GymRepetition GetUserInput()
{
var result = new GymRepetition();
Console.WriteLine("Exercise name: ");
result.Exercise = Console.ReadLine();
Console.WriteLine("Number of repetitions: ");
result.Repetitions = Int32.Parse(Console.ReadLine());
Console.WriteLine("Used weight: ");
result.Weight = Int32.Parse(Console.ReadLine());
return(result);
}