static void Main(string[] args)
{
//graphConvNetExample();
//runConvNetExample();
//cntkModelToGraphviz();
//Console.ReadKey();
//return;
var rnd = new Random(1);
Color randomColor = Color.FromArgb(rnd.Next(256), rnd.Next(256), rnd.Next(256));
//var root = "C:\\sc\\github\\anndotnet\\src\\tool";
//Iris flower recognition
//Famous multi class classification datset: https://archive.ics.uci.edu/ml/datasets/iris
var mlConfigFile3 = $"model_mlconfigs\\iris.mlconfig";
//run example
// var token2 = new CancellationToken();
//train mlconfig
var result = MachineLearning.Train(mlConfigFile3, trainingProgress, new CancellationToken(), null);
//once the mode is trained you can write performance analysis of the model
MachineLearning.PrintPerformance(mlConfigFile3);
//SHow training history
showTrainingHistory(mlConfigFile3);
//evaluate model and export the result of testing
//MLExport.ExportToCSV(mlConfigFile2, DeviceDescriptor.UseDefaultDevice(),"./model_mlconfigs/iris_result.csv" ).Wait();
//******run all configurations in the solution******
//for (int i = 0; i < 10; i++)
// runAllml_configurations(strLocation1);
//*****end of program*****
Console.WriteLine("Press any key to continue!");
Console.ReadKey();
}
static void Main(string[] args)
{
string root = "C:\\sc\\github\\anndotnet\\src\\tool\\";
//transformDailyLevelVeanaLake();
//return;
//regression
var mlConfigFile1 = $"{root}anndotnet.wnd\\Resources\\Concrete\\ConcreteSlumpProject\\FFNModel.mlconfig";
//binary classification
var mlConfigFile2 = $"{root}anndotnet.wnd\\Resources\\Titanic\\TitanicProject\\DNNModel.mlconfig";
//Multi-class classification
//Famous multi class classification datset: https://archive.ics.uci.edu/ml/datasets/iris
var mlConfigFile3 = "./model_mlconfigs/iris.mlconfig";
//run example
var token2 = new CancellationToken();
//train mlconfig
var result = MachineLearning.Train(mlConfigFile3, trainingProgress, token2, null);
//once the mode is trained you can write performance analysis of the model
MachineLearning.PrintPerformance(mlConfigFile1);
//evaluate model and export the result of testing
MLExport.ExportToCSV(mlConfigFile2, DeviceDescriptor.UseDefaultDevice(), "./model_mlconfigs/iris_result.csv").Wait();
//******run all configurations in the solution******
//string strLocation1 = "C:\\sc\\github\\anndotnet\\src\\tool\\";
//for (int i = 0; i < 10; i++)
// runAllml_configurations(strLocation1);
//*****end of program*****
Console.WriteLine("Press any key to continue!");
Console.ReadKey();
}
