private void button2_Click(object sender, EventArgs e)
{
ThreadPool.QueueUserWorkItem((object obj) =>
{
try
{
DeleteAll();
AddItemToListBox(this.lstResult, "数据下载中");
string gpCode = txtGPCode.Text.Trim();
DownLoadData(gpCode);
AddItemToListBox(this.lstResult, "数据下载完成");
AddItemToListBox(this.lstResult, "===========================================");
AddItemToListBox(this.lstResult, "训练数据中");
CreateAndTrain();
AddItemToListBox(this.lstResult, "训练数据完成");
AddItemToListBox(this.lstResult, "===========================================");
ModelInput sampleData = MyAutoML.CreateSingleDataSample(predictFilePath);
var result = Predict(sampleData);
var day = GetNextDataStr(sampleData.Riqi, 1);
AddItemToListBox(this.lstResult, $"股票{this.txtGPCode.Text} {day}预测股价：{result.Score}；昨收盘：{sampleData.Spj}");
}
catch (Exception ex)
{
AddItemToListBox(this.lstResult, $"出现异常，异常信息:{ex.Message}");
AddItemToListBox(this.lstResult, "===========================================");
}
});
}
private void DownLoadData(string gpCode, string startTime = "20000101")
{
ThreadPool.QueueUserWorkItem((object obj) =>
{
List <TestModel> testSource = new List <TestModel>();
List <TestModel> realSource = new List <TestModel>();
string endTime = string.Format("{0:yyyyMMdd}", DateTime.Now);// DateTime.Now.ToString("yyyymmdd");
string filePath = InitData.DownLoadFile(startTime, endTime, gpCode, isSH);
int count = InitData.GetDataCount(filePath);
string trainPath = InitData.CreateTrainData(filePath, "trainData.csv", 5, 0, ref predictFilePath);
string testPath = InitData.CreateTestData(filePath, testCoutn);
MyAutoML.TrainAndSave("mspj", trainPath, traTime);
List <ModelInput> testList = MyAutoML.CreateDataSampleList(testPath);
List <ModelInput> sourceList = MyAutoML.CreateDataSampleList(filePath);
foreach (var item in testList)
{
ModelOutput output = MyAutoML.LoadAndPrediction(item);
string day = item.Riqi;
ModelInput real = null;
do
{
day = GetNextDataStr(day, 1);
real = sourceList.FirstOrDefault(a => a.Riqi == day);
} while (null == real);
this.Invoke(new Action(() =>
{
this.chartControl1.Series[1].Points.Add(new DevExpress.XtraCharts.SeriesPoint(day, output.Score));
this.chartControl1.Series[0].Points.Add(new DevExpress.XtraCharts.SeriesPoint(day, real.Spj));
}));
}
});
}
private void button3_Click(object sender, EventArgs e)
{
try
{
string gpdm = txtGPCode.Text;
string file = FileHelper.Search(gpdm);
if (!string.IsNullOrEmpty(file) && file.Contains(gpdm))
{
this.filePath = file;
ModelInput sampleData = MyAutoML.CreateSingleDataSample(filePath);
var result = Predict(sampleData);
AddItemToListBox(this.lstResult, $"股票{this.txtGPCode.Text}预测股价：{result.Score}");
}
else
{
button2_Click(sender, e);
}
}
catch (Exception ex)
{
AddItemToListBox(this.lstResult, $"出现异常，异常信息:{ex.Message}");
AddItemToListBox(this.lstResult, "===========================================");
}
}
private void CreateAndTrain()
{
//ModelBuilder.CreateModel(trainPath);
MyAutoML.TrainAndSave("mspj", trainPath, experimentTime);
}
private ModelOutput Predict(ModelInput sampleData)
{
var predictionResult = MyAutoML.LoadAndPrediction(sampleData);
return(predictionResult);
}
