/// <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); }