protected NcaModel(NcaModel original, Cloner cloner)
: base(original, cloner) {
this.transformationMatrix = (double[,])original.transformationMatrix.Clone();
this.allowedInputVariables = (string[])original.allowedInputVariables.Clone();
this.nnModel = cloner.Clone(original.nnModel);
this.classValues = (double[])original.classValues.Clone();
}
protected NcaModel(NcaModel original, Cloner cloner)
: base(original, cloner)
{
this.transformationMatrix = (double[, ])original.transformationMatrix.Clone();
this.allowedInputVariables = (string[])original.allowedInputVariables.Clone();
this.nnModel = cloner.Clone(original.nnModel);
this.classValues = (double[])original.classValues.Clone();
}
public NcaModel(int k, double[,] transformationMatrix, IDataset dataset, IEnumerable<int> rows, string targetVariable, IEnumerable<string> allowedInputVariables, double[] classValues) {
Name = ItemName;
Description = ItemDescription;
this.transformationMatrix = (double[,])transformationMatrix.Clone();
this.allowedInputVariables = allowedInputVariables.ToArray();
this.targetVariable = targetVariable;
this.classValues = (double[])classValues.Clone();
var ds = ReduceDataset(dataset, rows);
nnModel = new NearestNeighbourModel(ds, Enumerable.Range(0, ds.Rows), k, ds.VariableNames.Last(), ds.VariableNames.Take(transformationMatrix.GetLength(1)), classValues);
}
public NcaModel(int k, double[,] transformationMatrix, IDataset dataset, IEnumerable <int> rows, string targetVariable, IEnumerable <string> allowedInputVariables, double[] classValues)
: base(targetVariable)
{
Name = ItemName;
Description = ItemDescription;
this.transformationMatrix = (double[, ])transformationMatrix.Clone();
this.allowedInputVariables = allowedInputVariables.ToArray();
this.classValues = (double[])classValues.Clone();
var ds = ReduceDataset(dataset, rows);
nnModel = new NearestNeighbourModel(ds, Enumerable.Range(0, ds.Rows), k, false, ds.VariableNames.Last(), ds.VariableNames.Take(transformationMatrix.GetLength(1)), classValues: classValues);
}
public NearestNeighbourClassificationSolution(IClassificationProblemData problemData, INearestNeighbourModel nnModel)
: base(nnModel, problemData)
{
}
public NearestNeighbourClassificationSolution(IClassificationProblemData problemData, INearestNeighbourModel nnModel)
: base(nnModel, problemData) {
}
public NearestNeighbourRegressionSolution(IRegressionProblemData problemData, INearestNeighbourModel nnModel)
: base(nnModel, problemData) {
}
public NearestNeighbourRegressionSolution(INearestNeighbourModel nnModel, IRegressionProblemData problemData)
: base(nnModel, problemData)
{
}
