/// <summary>
/// Get the training data of a k-nearest neighbors (k-NN) classifier.
/// Instance represents: Handle of the k-NN classifier that contains training data.
/// </summary>
/// <returns>Handle of the training data of the classifier.</returns>
public HClassTrainData GetClassTrainDataKnn()
{
IntPtr proc = HalconAPI.PreCall(1789);
this.Store(proc, 0);
HalconAPI.InitOCT(proc, 0);
int err = HalconAPI.CallProcedure(proc);
HClassTrainData hclassTrainData;
int procResult = HClassTrainData.LoadNew(proc, 0, err, out hclassTrainData);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
return(hclassTrainData);
}
/// <summary>
/// Select certain features from training data to create training data containing less features.
/// Instance represents: Handle of the training data.
/// </summary>
/// <param name="subFeatureIndices">Indices or names to select the subfeatures or columns.</param>
/// <returns>Handle of the reduced training data.</returns>
public HClassTrainData SelectSubFeatureClassTrainData(HTuple subFeatureIndices)
{
IntPtr proc = HalconAPI.PreCall(1783);
this.Store(proc, 0);
HalconAPI.Store(proc, 1, subFeatureIndices);
HalconAPI.InitOCT(proc, 0);
int err = HalconAPI.CallProcedure(proc);
HalconAPI.UnpinTuple(subFeatureIndices);
HClassTrainData hclassTrainData;
int procResult = HClassTrainData.LoadNew(proc, 0, err, out hclassTrainData);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
return(hclassTrainData);
}