private void btn_Train_Click(object sender, EventArgs e)
{
//return;//暂时不支持训练集回测
long len = long.Parse(this.txt_DataLength.Text);
int deep = int.Parse(this.txt_LearnDeep.Text);
ExpectList <TimeSerialData> el = new ExpectReader().ReadHistory <TimeSerialData>(long.Parse(this.txt_BegExpect.Text), len + deep + 1);
//MLDataFactory mldf = new MLDataFactory(ExpectList.getExpectList(el));
DataCategroyType = (Type)this.ddl_categryFunc.SelectedValue;
MLType = (Type)this.ddl_MLFunc.SelectedValue;
MLDataCategoryFactoryClass mldf = (MLDataCategoryFactoryClass)ClassOperateTool.getInstanceByType(DataCategroyType);
mldf.Init(ExpectList.getExpectList(el));
for (int i = 0; i < 10; i++)
{
//MLInstances<int, int> TrainSet = mldf.getAllSpecColRoundLabelAndFeatures(i,deep, chkb_AllUseShift.Checked ? 1 : 0);
MLInstances <int, int> TrainSet = mldf.getCategoryData(i, deep, chkb_AllUseShift.Checked ? 1 : 0);
MachineLearnClass <int, int> SelectFunc = (MachineLearnClass <int, int>)ClassOperateTool.getInstanceByType(MLType);//获取机器学习类型
SelectFunc.OnTrainFinished += OnTrainFinished;
SelectFunc.OnPeriodEvent += OnPeriodEvent;
SelectFunc.OnSaveEvent += SaveData;
SelectFunc.GroupId = i;
SelectFunc.FillTrainData(TrainSet);
SelectFunc.InitTrain();
SelectFunc.TrainIterorCnt = int.Parse(txt_IteratCnt.Text);
SelectFuncs.Add(SelectFunc);
this.txt_begT.Text = DateTime.Now.ToLongTimeString();
this.Cursor = Cursors.WaitCursor;
RunningThread = new Thread(SelectFunc.Train);
RunningThread.Start();
ThreadCnt++;
}
}
public bool FillTrainData(List <List <FeatureT> > FeatureData, List <LabelT> LabelData)
{
if (TrainData == null)
{
TrainData = new MLInstances <LabelT, FeatureT>();
}
try
{
if (FeatureData.Count != LabelData.Count)
{
return(false);
}
if (FeatureData.Count == 0 || LabelData.Count == 0)
{
return(false);
}
MLInstances <LabelT, FeatureT> _TrainData = new MLInstances <LabelT, FeatureT>();
for (int i = 0; i < FeatureData.Count; i++)
{
_TrainData.Add(new MLInstance <LabelT, FeatureT>(LabelData[i], FeatureData[i]));
}
FillTrainData(_TrainData);
}
catch (Exception ce)
{
return(false);
}
return(true);
}
public MLInstances <int, int> getAllSpecColRoundLabelAndFeatures(int col, int Deep, int AllowUseShift)
{
MLInstances <int, int> ret = new MLInstances <int, int>();
for (int i = Deep + 1; i < Data.Count; i++)
{
ret.Add(getSpecRowRoundLabelFeatures(i, col, Deep, AllowUseShift));
}
return(ret);
}
public bool FillTrainData(MLInstances <LabelT, FeatureT> _TrainData)
{
TrainData = _TrainData;
return(true);
}
