static void Main(string[] args)
{
Console.WriteLine("Hello World!");
MLContext mlContext = new MLContext(seed: 1);
StockData dataSample = new StockData()
{
open = 73.55F,
high = 74.17F,
low = 73.17F,
close = 73.85F,
timestamp = "2017-09-27",
volume = 18934048
};
var path = "../../../../MLTAscend.MVC/wwwroot/PredictionModels/OneDayPred_model.zip";
PredictionModelTrainer.TrainAndSaveModel(mlContext, "../../../Data/OneDayData.csv", path);
PredictionModelTrainer.TestPrediction(mlContext, dataSample, path);
path = "../../../../MLTAscend.MVC/wwwroot/PredictionModels/OneWeekPred_model.zip";
PredictionModelTrainer.TrainAndSaveModel(mlContext, "../../../Data/OneWeekData.csv", path);
PredictionModelTrainer.TestPrediction(mlContext, dataSample, path);
path = "../../../../MLTAscend.MVC/wwwroot/PredictionModels/OneMonthPred_model.zip";
PredictionModelTrainer.TrainAndSaveModel(mlContext, "../../../Data/OneMonthData.csv", path);
PredictionModelTrainer.TestPrediction(mlContext, dataSample, path);
path = "../../../../MLTAscend.MVC/wwwroot/PredictionModels/ThreeMonthPred_model.zip";
PredictionModelTrainer.TrainAndSaveModel(mlContext, "../../../Data/ThreeMonthData.csv", path);
PredictionModelTrainer.TestPrediction(mlContext, dataSample, path);
path = "../../../../MLTAscend.MVC/wwwroot/PredictionModels/OneYearPred_model.zip";
PredictionModelTrainer.TrainAndSaveModel(mlContext, "../../../Data/OneYearData.csv", path);
PredictionModelTrainer.TestPrediction(mlContext, dataSample, path);
Console.ReadLine();
}
public void Test_TestPrediction()
{
Assert.True(PredictionModelTrainer.TestPrediction(mlc, dat, OutPathTP).Score > 0);
}
public void Test_TrainAndSaveModel()
{
PredictionModelTrainer.TrainAndSaveModel(mlc, DatPath, OutPathTasm);
Assert.True(File.Exists(OutPathTasm));
}