public string writeModel(string outModelPath)
{
outPath = outModelPath;
string outPathSvm = outModelPath.Replace(".mdl", ".svm");
svmMachine.Save(outPathSvm);
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.SVM.ToString());
sw.WriteLine(InTablePath);
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
if (ClassFieldNames != null)
{
sw.WriteLine(String.Join(",", ClassFieldNames));
}
else
{
sw.WriteLine();
}
sw.WriteLine(SampleSize.ToString());
sw.WriteLine(NumberOfVariables.ToString());
sw.WriteLine(sserror.ToString());
sw.WriteLine(kTyp.ToString());
sw.WriteLine(String.Join(" ", (from double d in minValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in maxValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in sumValues select d.ToString()).ToArray()));
sw.Close();
}
return(outPath);
}
public void getReport(double alpha)
{
Forms.RunningProcess.frmRunningProcessDialog rd = new Forms.RunningProcess.frmRunningProcessDialog(false);
rd.Text = "Regression Results";
rd.TopLevel = true;
rd.pgbProcess.Visible = false;
rd.FormBorderStyle = System.Windows.Forms.FormBorderStyle.Sizable;
rd.addMessage("Dependent field = " + DependentFieldNames[0]);
rd.addMessage("Independent fields = " + String.Join(", ", IndependentFieldNames));
rd.addMessage("Sample size = " + SampleSize.ToString());
rd.addMessage("Intercept Through Origin = " + InterceptThroughOrigin.ToString());
rd.addMessage("F-statistic = " + FValue.ToString() + " p-value = " + PValue.ToString());
rd.addMessage("RMSE = " + RMSE.ToString());
rd.addMessage("R2 = " + Rsquared.ToString());
rd.addMessage("Adj-R2 = " + AdjustedRsquared.ToString() + "\n\nCoefficents and standard errors:\n");
rd.addMessage("Param: Intercept, " + String.Join(", ", IndependentFieldNames));
rd.addMessage("Coef: " + string.Join(", ", (from double d in Coefficients select d.ToString()).ToArray()));
rd.addMessage("STE: " + string.Join(", ", (from double d in StandardErrors select d.ToString()).ToArray()) + "\n");
try
{
if (ModelHelper.chartingAvailable())
{
regChart();
}
}
catch
{
System.Windows.Forms.MessageBox.Show("Cannot create charts");
}
rd.Show();
rd.enableClose();
}
public string writeModel(string outModelPath)
{
outPath = outModelPath;
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.LinearRegression.ToString());
sw.WriteLine(InTablePath);
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
sw.WriteLine(String.Join(",", ClassFieldNames));
sw.WriteLine(SampleSize.ToString());
sw.WriteLine(NumberOfVariables.ToString());
sw.WriteLine(InterceptThroughOrigin.ToString());
sw.WriteLine(RMSE);
sw.WriteLine(FValue.ToString());
sw.WriteLine(PValue.ToString());
sw.WriteLine(Rsquared.ToString());
sw.WriteLine(AdjustedRsquared.ToString());
sw.WriteLine(String.Join(" ", (from double d in Coefficients select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in StandardErrors select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in minValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in maxValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in sumValues select d.ToString()).ToArray()));
sw.Close();
}
return(outPath);
}
public void getReport(double alpha)
{
Forms.RunningProcess.frmRunningProcessDialog rd = new Forms.RunningProcess.frmRunningProcessDialog(false);
rd.Text = "GLM Results";
rd.TopLevel = true;
rd.pgbProcess.Visible = false;
rd.FormBorderStyle = System.Windows.Forms.FormBorderStyle.Sizable;
rd.addMessage("Dependent field = " + DependentFieldNames[0]);
rd.addMessage("Independent fields = " + String.Join(", ", IndependentFieldNames));
rd.addMessage("Sample size = " + SampleSize.ToString());
rd.addMessage("Iteration = " + Iterations.ToString());
rd.addMessage("Delta Convergence " + DeltaC.ToString());
rd.addMessage("Chi-Sqr = " + ChiSquare.ToString() + " p-value = " + PValue.ToString());
rd.addMessage("Deviance = " + Deviance.ToString());
rd.addMessage("Log Likelihood = " + LogLikelihood.ToString());
rd.addMessage("Log Likelihood Ratio = " + LogLikelihoodratio.ToString() + "\n\nCoefficents and standard errors:\n");
rd.addMessage("Param: Intercept, " + String.Join(", ", IndependentFieldNames));
rd.addMessage("Coef: " + string.Join(", ", (from double d in Coefficients select d.ToString()).ToArray()));
rd.addMessage("STE: " + string.Join(", ", (from double d in StdError select d.ToString()).ToArray()) + "\n");
try
{
if (ModelHelper.chartingAvailable() && System.Windows.Forms.MessageBox.Show("Do you want to build distribution graphs?", "Graphs", System.Windows.Forms.MessageBoxButtons.YesNo) == System.Windows.Forms.DialogResult.Yes)
{
createRegChart();
}
}
catch
{
System.Windows.Forms.MessageBox.Show("Cannot create charts.");
}
rd.Show();
rd.enableClose();
}
public string writeModel(string outModelPath)
{
outPath = outModelPath;
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.GLM.ToString());
sw.WriteLine(InTablePath);
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
sw.WriteLine(String.Join(",", ClassFieldNames));
sw.WriteLine(SampleSize.ToString());
sw.WriteLine(NumberOfVariables.ToString());
sw.WriteLine(Iterations.ToString());
sw.WriteLine(DeltaC.ToString());
sw.WriteLine(LogLikelihood);
sw.WriteLine(LogLikelihoodratio);
sw.WriteLine(PValue.ToString());
sw.WriteLine(Deviance.ToString());
sw.WriteLine(ChiSquare.ToString());
sw.WriteLine(linkfunction.ToString());
sw.WriteLine(String.Join(" ", (from double d in Coefficients select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in StdError select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in waldTestValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in waldTestPValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in minValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in maxValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in sumValues select d.ToString()).ToArray()));
sw.Close();
}
return(outPath);
}
public void getReport()
{
Forms.RunningProcess.frmRunningProcessDialog rd = new Forms.RunningProcess.frmRunningProcessDialog(false);
rd.Text = "SVM Results";
rd.TopLevel = true;
rd.pgbProcess.Visible = false;
rd.FormBorderStyle = System.Windows.Forms.FormBorderStyle.Sizable;
rd.addMessage("Dependent field = " + DependentFieldNames[0]);
rd.addMessage("Independent fields = " + String.Join(", ", IndependentFieldNames));
rd.addMessage("Sample size = " + SampleSize.ToString());
rd.addMessage("Sum of Squared Error: " + sserror.ToString());
rd.Show();
rd.enableClose();
}
public void getReport()
{
Forms.RunningProcess.frmRunningProcessDialog rd = new Forms.RunningProcess.frmRunningProcessDialog(false);
rd.Text = "LDA Results";
rd.TopLevel = true;
rd.pgbProcess.Visible = false;
rd.FormBorderStyle = System.Windows.Forms.FormBorderStyle.Sizable;
rd.addMessage("Dependent field = " + DependentFieldNames[0]);
rd.addMessage("Independent fields = " + String.Join(", ", IndependentFieldNames));
rd.addMessage("Sample size = " + SampleSize.ToString());
rd.addMessage("Means: " + string.Join(", ", (from double d in meanValues select d.ToString()).ToArray()));
rd.addMessage("Standard Dev: " + string.Join(", ", (from double d in stdValues select d.ToString()).ToArray()) + "\n");
rd.Show();
rd.enableClose();
}
public string writeModel(string outModelPath)
{
if (lm == null)
{
getMnlModel();
}
outPath = outModelPath;
double[,] coef = null;
alglib.mnlunpack(lm, out coef, out nvars, out nclasses);
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.SoftMax.ToString());
sw.WriteLine(InTablePath);
sw.WriteLine(SampleSize.ToString());
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
sw.WriteLine(String.Join(",", ClassFieldNames));
sw.WriteLine(string.Join(",", Categories));
sw.WriteLine(NumberOfVariables.ToString());
sw.WriteLine(NumberOfClasses.ToString());
sw.WriteLine(RMSE.ToString());
sw.WriteLine(AverageCrossEntropyError.ToString());
sw.WriteLine(AverageError.ToString());
sw.WriteLine(AverageRelativeError.ToString());
sw.WriteLine(ClassificationError.ToString());
sw.WriteLine(RelativeClassificationError.ToString());
sw.WriteLine(String.Join(",", (from double d in minValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(",", (from double d in maxValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(",", (from double d in sumValues select d.ToString()).ToArray()));
int rws = coef.GetUpperBound(1);
int clms = coef.GetUpperBound(0);
for (int r = 0; r <= rws; r++)
{
string[] ln = new string[clms + 1];
for (int c = 0; c <= clms; c++)
{
ln[c] = coef[c, r].ToString();
}
sw.WriteLine(String.Join(" ", ln));
}
sw.Close();
}
return(outPath);
}
public string writeModel(string outModelPath)
{
outPath = outModelPath;
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.LDA.ToString());
sw.WriteLine(InTablePath);
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
sw.WriteLine(String.Join(",", ClassFieldNames));
sw.WriteLine(SampleSize.ToString());
sw.WriteLine(NumberOfVariables.ToString());
sw.WriteLine(String.Join(" ", (from double d in minValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in maxValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in sumValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in meanValues select d.ToString()).ToArray()));
sw.WriteLine(String.Join(" ", (from double d in stdValues select d.ToString()).ToArray()));
sw.Close();
}
return(outPath);
}
public void WriteXml(XmlWriter writer)
{
writer.WriteAttributeString("nominal", Nominal.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("mean", Mean.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("standardDeviation", StandardDeviation.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("lowerSpecLimit", LowerSpecLimit.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("upperSpecLimit", UpperSpecLimit.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("cp", Cp.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("cpk", Cpk.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("distribution", Distribution);
writer.WriteAttributeString("skewness", Skewness.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("kurtosis", Kurtosis.ToString(CultureInfo.InvariantCulture));
writer.WriteAttributeString("sampleSize", SampleSize.ToString(CultureInfo.InvariantCulture));
writer.WriteStartElement("Sample");
Sample.WriteXml(writer);
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
Estimate.WriteXml(writer);
writer.WriteEndElement();
}
