//The variation of the index for this predictor ex:
//Sex: female, male offset 1 = male
public PredictorMv(SchemaVariable var, Node _node, int idx, int fieldSpan, int nativeIdx, int offSet, int predictorLstIdx, MvTb MvTb)
{
Variable = var;
N = _node;
PredMvLstIdx = idx;
Table = MvTb;
FieldSpan = fieldSpan;
NativeIdx = nativeIdx;
Offset = offSet;
PredictorLstIdx = predictorLstIdx;
if (Variable.VariableTypeUserSet == SchemaVariable.VariableTypeEnum.Continuous) {
LowerNumber = N.PredictorLst[PredictorLstIdx].LowerNumber;
HigherNumber = N.PredictorLst[PredictorLstIdx].HigherNumber;
}
}
public double[] TN; // numeric target
#endregion Fields
#region Constructors
public MvTbData(MvTb mvTb)
{
MvTb = mvTb;
N = MvTb.N;
DataFill();
}
public void MvProcedures()
{
int nativeIdxN = 0;
int nativeIdxC = 0;
if (Def.Multivariate) { // Creates the multivariate abstraction layer
MvTb = new MvTb(this,0);
MvTsTb = new MvTb(this, 1);
for (int i = 0; i < PredictorLst.Count; ++i) {
if (PredictorLst[i].Variable.VariableTypeUserSet == SchemaVariable.VariableTypeEnum.Continuous) {
PredictorLst[i].PredMvBase = PredMvLst.Count;
PredictorMv pmv = new PredictorMv(PredictorLst[i].Variable, this, PredMvLst.Count, 1, nativeIdxN, 0, i, MvTb);
PredMvLst.Add(pmv);
PredictorMv pmvTs = new PredictorMv(PredictorLst[i].Variable, this, PredMvLst.Count, 1, nativeIdxN, 0, i, MvTsTb);
PredMvTsLst.Add(pmvTs);
++nativeIdxN;
} else {
PredictorLst[i].PredMvBase = PredMvLst.Count;
for (int dx = 0; dx < PredictorLst[i].DistinctValuesCount; ++dx) {
PredictorMv pmv = new PredictorMv(PredictorLst[i].Variable, this, PredMvLst.Count, PredictorLst[i].DistinctValuesCount, nativeIdxC, dx, i, MvTb );
PredMvLst.Add(pmv);
PredictorMv pmvTs = new PredictorMv(PredictorLst[i].Variable, this, PredMvLst.Count, PredictorLst[i].DistinctValuesCount, nativeIdxC, dx, i, MvTsTb);
PredMvTsLst.Add(pmvTs);
}
++nativeIdxC;
}
}
}
}
