private void btnExecute_Click(object sender, EventArgs e)
{
string smpFtrNm = cmbSampleFeatureClass.Text;
string depFld = cmbDepedent.Text;
string outP = txtOutputPath.Text;
if (smpFtrNm == null || smpFtrNm == "")
{
MessageBox.Show("You must select a feature Class", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (depFld == null || depFld == "")
{
MessageBox.Show("You must select a dependent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (outP == null || outP == "")
{
MessageBox.Show("You must select an output model path", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
List <string> lstInd = new List <string>();
for (int i = 0; i < lstIndependent.Items.Count; i++)
{
string s = lstIndependent.Items[i].ToString();
lstInd.Add(s);
}
if (lstInd.Count < 1)
{
MessageBox.Show("You must select at least one independent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (!lstCategoricalFlds.Contains(depFld))
{
lstCategoricalFlds.Add(depFld);
}
this.Visible = false;
try
{
Statistics.ModelHelper.runProgressBar("Running SoftMax Nnet");
ITable ftrCls = ftrDic[smpFtrNm];
Statistics.dataPrepSoftMaxPlr sm = new Statistics.dataPrepSoftMaxPlr(ftrCls, new string[] { depFld }, lstInd.ToArray(), lstCategoricalFlds.ToArray());
sm.writeModel(outP);
sm.getReport();
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
}
finally
{
Statistics.ModelHelper.closeProgressBar();
this.Close();
}
}
public void Bind(object pArgument)
{
if (pArgument is softMaxFunctionArguments)
{
softMaxFunctionArguments arg = (softMaxFunctionArguments)pArgument;
inrsBandsCoef = arg.InRasterCoefficients;
outrs = arg.OutRaster;
xVls = new double[((IRasterBandCollection)inrsBandsCoef).Count];
//Console.WriteLine("Number of Bands in outrs = " + ((IRasterBandCollection)outrs).Count.ToString());
lm = arg.LogitModel;
myFunctionHelper.Bind(outrs);
myFunctionHelperCoef.Bind(inrsBandsCoef);
myRasterInfo = myFunctionHelper.RasterInfo;
myPixeltype = myRasterInfo.PixelType;
myValidFlag = true;
}
else
{
throw new System.Exception("Incorrect arguments object. Expected: plrFunctionArguments");
}
}
public void Bind(object pArgument)
{
if (pArgument is softMaxFunctionArguments)
{
softMaxFunctionArguments arg = (softMaxFunctionArguments)pArgument;
inrsBandsCoef = arg.InRasterCoefficients;
outrs = arg.OutRaster;
xVls = new double[((IRasterBandCollection)inrsBandsCoef).Count];
//Console.WriteLine("Number of Bands in outrs = " + ((IRasterBandCollection)outrs).Count.ToString());
lm = arg.LogitModel;
myFunctionHelper.Bind(outrs);
myFunctionHelperCoef.Bind(inrsBandsCoef);
myRasterInfo = myFunctionHelper.RasterInfo;
myPixeltype = myRasterInfo.PixelType;
myValidFlag = true;
}
else
{
throw new System.Exception("Incorrect arguments object. Expected: plrFunctionArguments");
}
}
private void btnExecute_Click(object sender, EventArgs e)
{
string smpFtrNm = cmbSampleFeatureClass.Text;
string depFld = cmbDepedent.Text;
string outP = txtOutputPath.Text;
if (smpFtrNm == null || smpFtrNm == "")
{
MessageBox.Show("You must select a feature Class","Error",MessageBoxButtons.OK,MessageBoxIcon.Error);
return;
}
if (depFld == null || depFld == "")
{
MessageBox.Show("You must select a dependent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (outP == null || outP == "")
{
MessageBox.Show("You must select an output model path", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
List<string> lstInd = new List<string>();
for (int i = 0; i < lstIndependent.Items.Count; i++)
{
string s = lstIndependent.Items[i].ToString();
lstInd.Add(s);
}
if (lstInd.Count < 1)
{
MessageBox.Show("You must select at least one independent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (!lstCategoricalFlds.Contains(depFld)) lstCategoricalFlds.Add(depFld);
this.Visible = false;
try
{
Statistics.ModelHelper.runProgressBar("Running SoftMax Nnet");
ITable ftrCls = ftrDic[smpFtrNm];
Statistics.dataPrepSoftMaxPlr sm = new Statistics.dataPrepSoftMaxPlr(ftrCls, new string[] { depFld }, lstInd.ToArray(), lstCategoricalFlds.ToArray());
sm.writeModel(outP);
sm.getReport();
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
}
finally
{
Statistics.ModelHelper.closeProgressBar();
this.Close();
}
}
