void TestML()
{
ExpectList el = new PK10ExpectReader().ReadNewestData(DateTime.Now.AddDays(-17));//至少180*16天+当天的记录数>1000
//MessageBox.Show(el.LastData.OpenCode);
var mapping = new DaXiao_Mapping();
var classifier = BayesPointMachineClassifier.CreateMulticlassClassifier(mapping);
FeatureLabeItems trainingSet = new PKDataListSetFactory(el).OccurFeatureAndLabels();
classifier.Train(trainingSet.FeatureVectors, trainingSet.Labels);
List <Vector> testVector = new List <Vector>();//1
Vector v = Vector.Zero(1);
v[0] = 1;
testVector.Add(v);
var predictions = classifier.PredictDistribution(testVector);
string estimate = classifier.Predict(0, testVector);
MessageBox.Show(estimate);
}
void TestSerial()
{
//ExpectList el = new PK10ExpectReader().ReadNewestData(DateTime.Now.AddDays(-17));//至少180*16天+当天的记录数>1000
//ExpectList el = new PK10ExpectReader().ReadNewestData(725888,1200);//725888以前1200
ExpectList el = new PK10ExpectReader().ReadHistory()
//MessageBox.Show(el.LastData.OpenCode);
var mapping = new Serial_Mapping();
DataTable dtAll = new DataTable();
Dictionary <int, string> ret = new Dictionary <int, string>();
PKDataListSetFactory pksf = new PKDataListSetFactory(el);
Dictionary <int, int> res = pksf.OccurProbList(1000, 1);
MessageBox.Show(string.Join(";", res.Values.ToList()));
////////////////for (int i=0;i<10;i++)
////////////////{
//////////////// dtAll.Columns.Add(string.Format("key{0}", i), typeof(string));
//////////////// dtAll.Columns.Add(string.Format("val{0}", i), typeof(double));
////////////////}
////////////////for(int i=0;i<10;i++)
////////////////{
//////////////// dtAll.Rows.Add(dtAll.NewRow());
////////////////}
////////////////StringBuilder sb = new StringBuilder();//删除packages
////////////////for (int i = 0; i < 10; i++)
////////////////{
//////////////// var classifier = BayesPointMachineClassifier.CreateMulticlassClassifier(mapping);
//////////////// FeatureLabeItems trainingSet = pksf.OccurColumnFeatureAndLabels(i, 1000, 1);
//////////////// classifier.Train(trainingSet.FeatureVectors, trainingSet.Labels);
//////////////// List<Vector> testVector = new List<Vector>();//1
//////////////// Vector v = Vector.Zero(1);
//////////////// v[0] = int.Parse(el.LastData.ValueList[i]=="0"?"10":el.LastData.ValueList[i]);
//////////////// testVector.Add(v);
//////////////// var predictions = classifier.PredictDistribution(testVector);
//////////////// string estimate = classifier.Predict(0, testVector);
//////////////// sb.AppendLine(estimate);
//////////////// int row1 = 0;
//////////////// foreach(var vv in predictions)
//////////////// {
//////////////// foreach(string key in vv.Keys)
//////////////// {
//////////////// dtAll.Rows[row1][string.Format("key{0}", i)] = key;
//////////////// dtAll.Rows[row1][string.Format("val{0}", i)] = vv[key];
//////////////// row1++;
//////////////// }
//////////////// }
////////////////}
////////////////DataTable mydt = new DataTable();
////////////////for (int i = 0; i < 10; i++)
////////////////{
//////////////// mydt.Columns.Add(string.Format("key{0}", i), typeof(string));
//////////////// mydt.Columns.Add(string.Format("val{0}", i), typeof(double));
////////////////}
////////////////for (int i = 0; i < 101; i++)
////////////////{
//////////////// mydt.Rows.Add(mydt.NewRow());
////////////////}
////////////////for (int i = 0; i < 10; i++)
////////////////{
//////////////// Dictionary<string, double> mydata = pksf.OccurColumnProb(i, 1000, 1);
////////////////}
////////////////int row = 0;
////////////////double sum = 0;
////////////////foreach(string key in mydata.Keys)
////////////////{
//////////////// mydt.Rows[row][string.Format("key{0}", 0)] = key;
//////////////// mydt.Rows[row][string.Format("val{0}", 0)] = mydata[key];
//////////////// sum += mydata[key];
//////////////// row++;
////////////////}
////////////////DataView dv = new DataView(dtAll);
////////////////mydt.Rows[100][string.Format("key{0}", 0)] = "合计";
////////////////mydt.Rows[100][string.Format("val{0}", 0)] = sum;
////////////////this.dataGridView1.DataSource = mydt;
////////////////MessageBox.Show(BayesDicClass.getBAMaxValue(mydata, 5).ToString());
//MessageBox.Show(sb.ToString());
}