public string writeModel(string outModelPath)
{
if (lr == null)
{
buildModel();
}
outPath = outModelPath;
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.LogisticRegression.ToString());
sw.WriteLine(InTablePath);
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
sw.WriteLine(String.Join(",", ClassFieldNames));
sw.WriteLine(String.Join(",", Categories));
sw.WriteLine(NumberOfIndependentVariables.ToString());
sw.WriteLine(NumberOfCategories.ToString());
sw.WriteLine(LogLikelihood.ToString());
sw.WriteLine(Deviance.ToString());
sw.WriteLine(X2.ToString());
sw.WriteLine(PValue.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 Coefficients select d.ToString()).ToArray()));
sw.WriteLine(String.Join(",", (from double d in StandardError select d.ToString()).ToArray()));
sw.WriteLine(String.Join(",", (from Accord.Statistics.Testing.WaldTest d in WaldStatistic select d.Statistic.ToString()).ToArray()));
sw.WriteLine(String.Join(",", (from Accord.Statistics.Testing.WaldTest d in WaldStatistic select d.PValue.ToString()).ToArray()));
sw.Close();
}
return(outPath);
}
public string writeModel(string outModelPath)
{
if (mlr == null)
{
buildModel();
}
outPath = outModelPath;
using (System.IO.StreamWriter sw = new System.IO.StreamWriter(outPath))
{
sw.WriteLine(modelTypes.PLR);
sw.WriteLine(InTablePath);
sw.WriteLine(String.Join(",", IndependentFieldNames));
sw.WriteLine(String.Join(",", DependentFieldNames));
sw.WriteLine(String.Join(",", ClassFieldNames));
sw.WriteLine(String.Join(",", Categories));
sw.WriteLine(NumberOfIndependentVariables.ToString());
sw.WriteLine(NumberOfCategories.ToString());
sw.WriteLine(Delta.ToString());
sw.WriteLine(NumberOfIterationsToConverge.ToString());
sw.WriteLine(LogLikelihood.ToString());
sw.WriteLine(Deviance.ToString());
sw.WriteLine(X2.ToString());
sw.WriteLine(PValue.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()));
for (int i = 0; i < Coefficients.Length; i++)
{
string[] vlArr = (from double d in Coefficients[i] select d.ToString()).ToArray();
sw.WriteLine(String.Join(" ", vlArr));
}
for (int i = 0; i < StandardError.Length; i++)
{
string[] vlArr = (from double d in StandardError[i] select d.ToString()).ToArray();
sw.WriteLine(String.Join(" ", vlArr));
}
for (int i = 0; i < WaldStatistic.Length; i++)
{
string[] vlArr = (from double d in WaldStatistic[i] select d.ToString()).ToArray();
sw.WriteLine(String.Join(" ", vlArr));
}
for (int i = 0; i < WaldPvalue.Length; i++)
{
string[] vlArr = (from double d in WaldPvalue[i] select d.ToString()).ToArray();
sw.WriteLine(String.Join(" ", vlArr));
}
sw.Close();
}
return(outPath);
}
