/// <summary>
/// Builds a probabilistic raster (PROB) of all the categories (1st raster is the baseline category) and a maximum likelihood raster (MLC) depicting the
/// most probable raster band from the PROB raster. MCL raster also has the category names appended to the Raster's VAT. Required properties to run this
/// procedure include; SASoutput file, InRater, OutWorkspace, and the DependentField Name.
/// </summary>
/// <returns>a IRaster Array with the first Raster being the probability raster and the second raster being the maximum likelihood raster</returns>
public IRaster createModelRaster(IRaster seedRaster)
{
Dictionary <string, float[]> slopesDic = new Dictionary <string, float[]>();
foreach (string s in Categories)
{
slopesDic.Add(s, betasdic[s].Values.ToArray());
}
return(rsUtil.calcPolytomousLogisticRegressFunction(InRaster, slopesDic, seedRaster));
#region oldcode
//IRaster2 inRs2 = (IRaster2)InRaster;
//IPnt pntSize = new PntClass();
//pntSize.SetCoords(512, 512);
//IRasterCursor inRsCur = inRs2.CreateCursorEx(pntSize);
//int outBndCnt = Categories.Length + 1;
//int betasCnt = betasdic.Count;
//IRaster outRst = rsUtil.createNewRaster(InRaster, OutWorkspace, "PROB", outBndCnt, rstPixelType.PT_UCHAR);
//IRaster outRstML = rsUtil.createNewRaster(InRaster, OutWorkspace, "MLC", 1, rstPixelType.PT_UCHAR);
//IRasterEdit outRstE = (IRasterEdit)outRst;
//IRasterEdit outRstMLE = (IRasterEdit)outRstML;
//int inBndCnt = ((IRasterBandCollection)InRaster).Count;
//System.Array[] inBndArr = new System.Array[inBndCnt];
//System.Array[] outBndArr = new System.Array[outBndCnt];
//double[] xArr = new double[inBndCnt];
//double[] regArr = new double[betasCnt];
////int curCnt = 1;
//while (inRsCur.Next() == true)
//{
// //curCnt++;
// IPixelBlock3 inPb = (IPixelBlock3)inRsCur.PixelBlock;
// pntSize.SetCoords(inPb.Width, inPb.Height);
// IPixelBlock3 outPb = (IPixelBlock3)outRst.CreatePixelBlock(pntSize);
// IPixelBlock3 outPb2 = (IPixelBlock3)outRstML.CreatePixelBlock(pntSize);
// #region set system arraies
// System.Array mlArr = (System.Array)outPb2.get_PixelData(0);
// for (int i = 0; i < inBndCnt; i++)
// {
// inBndArr[i] = (System.Array)inPb.get_PixelData(i);
// }
// for (int i = 0; i < outBndCnt; i++)
// {
// outBndArr[i] = (System.Array)outPb.get_PixelData(i);
// }
// #endregion
// #region update pixel values in outBndArr
// for (int c = 0; c < inPb.Width; c++)
// {
// for (int r = 0; r < inPb.Height; r++)
// {
// for (int i = 0; i < inBndCnt; i++)
// {
// double xArrVl = System.Convert.ToDouble(inBndArr[i].GetValue(c, r));
// xArr[i] = xArrVl;
// }
// for (int i = 0; i < betasCnt; i++)
// {
// double[] vls = betasdic[Categories[i]].Values.ToArray();
// double sumReg = vls[0];
// for (int j = 1; j < vls.Length; j++)
// {
// sumReg += vls[j] * xArr[j-1];
// }
// regArr[i] = Math.Exp(sumReg);
// }
// double sumExp1 = 1 + regArr.Sum();
// double sumProb = 0;
// double maxProbBnd = 0;
// double maxProb = 0;
// double vl = 0;
// byte vlbyte = 0;
// for (int i = 0; i < regArr.Length; i++)
// {
// vl = regArr[i] / sumExp1;
// try
// {
// if (Double.IsNaN(vl))
// {
// vl = 0;
// }
// vlbyte = System.Convert.ToByte(System.Math.Round(vl * 100));
// }
// catch (Exception e)
// {
// Console.WriteLine("Error: vl = " + vl.ToString());
// vl = 0;
// vlbyte = System.Convert.ToByte(0);
// Console.WriteLine(e.ToString());
// }
// int otBnd = i + 1;
// outBndArr[otBnd].SetValue(vlbyte, c, r);
// sumProb += vl;
// if (vl > maxProb)
// {
// maxProb = vl;
// maxProbBnd = otBnd;
// }
// }
// vl = 1 - sumProb;
// vlbyte = System.Convert.ToByte(System.Math.Round(vl * 100));
// if (vl > maxProb)
// {
// maxProbBnd = 0;
// }
// outBndArr[0].SetValue(vlbyte, c, r);
// mlArr.SetValue(System.Convert.ToByte(maxProbBnd+1), c, r);
// }
// }
// #endregion
// #region store pixel values in out raster
// for (int i = 0; i < outBndCnt; i++)
// {
// outPb.set_PixelData(i, outBndArr[i]);
// }
// outRstE.Write(inRsCur.TopLeft, (IPixelBlock)outPb);
// outPb2.set_PixelData(0, mlArr);
// outRstMLE.Write(inRsCur.TopLeft, (IPixelBlock)outPb2);
// #endregion
//}
//outRstE.Refresh();
//outRstMLE.Refresh();
//rsUtil.calcStatsAndHist(((IRasterBandCollection)outRst).Item(0).RasterDataset);
//IRasterDataset mlDset = ((IRasterBandCollection)outRstML).Item(0).RasterDataset;
//rsUtil.calcStatsAndHist(mlDset);
//#region update MLC attribute table
//IRasterDatasetEdit2 mlDsetE = (IRasterDatasetEdit2)((IRasterDataset2)mlDset);
//mlDsetE.BuildAttributeTable();
//ITable rTbl = ((IRasterBandCollection)mlDset).Item(0).AttributeTable;
//IField fld = new FieldClass();
//IFieldEdit fldE = (IFieldEdit)fld;
//fldE.Name_2 = Dependentfield;
//fldE.Type_2 = esriFieldType.esriFieldTypeString;
//rTbl.AddField(fld);
//ICursor scur = rTbl.Search(null,false);
//int vlIndex = scur.FindField("Value");
//int uIndex = scur.FindField(dependentfield);
//IRow srow = scur.NextRow();
//while(srow!=null)
//{
// int vl = System.Convert.ToInt32(srow.get_Value(vlIndex));
// if (vl > 1)
// {
// srow.set_Value(uIndex, Categories[vl - 2]);
// }
// else
// {
// srow.set_Value(uIndex, "BASE");
// }
// srow.Store();
// srow= scur.NextRow();
//}
//#endregion
//return new IRaster[]{outRst,outRstML};
#endregion
}
