public BPN_ImageClassifier_Double(int nrPixels, int nrHiddens1, int nrHiddens2, int nrClasses, BiasNodes bias, double minInput, double maxInput) : this(VisionLabPINVOKE.new_BPN_ImageClassifier_Double__SWIG_1(nrPixels, nrHiddens1, nrHiddens2, nrClasses, (int)bias, minInput, maxInput), true) { if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve(); }
public static string BiasNodesToStr(BiasNodes b) { string ret = VisionLabPINVOKE.BiasNodesToStr((int)b); if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve(); return ret; }
public BPN(ActivationFunction func, vector_int layerDescrTab, BiasNodes bias, vector_MinMaxInput minMaxInputTab, double minOutput, double maxOutput) : this(VisionLabPINVOKE.new_BPN__SWIG_1((int)func, vector_int.getCPtr(layerDescrTab), (int)bias, vector_MinMaxInput.getCPtr(minMaxInputTab), minOutput, maxOutput), true) { if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve(); }
public void Init(ActivationFunction func, vector_int layerDescrTab, BiasNodes bias, vector_MinMaxInput minMaxInputTab, double minOutput, double maxOutput) { VisionLabPINVOKE.BPN_Init(swigCPtr, (int)func, vector_int.getCPtr(layerDescrTab), (int)bias, vector_MinMaxInput.getCPtr(minMaxInputTab), minOutput, maxOutput); if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve(); }
public BPN_Classifier(int nrInputs, int nrHiddens1, int nrHiddens2, int nrOutputs, BiasNodes bias, vector_MinMaxInput minMaxInputTab) : this(VisionLabPINVOKE.new_BPN_Classifier__SWIG_1(nrInputs, nrHiddens1, nrHiddens2, nrOutputs, (int)bias, vector_MinMaxInput.getCPtr(minMaxInputTab)), true) { if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve(); }
public BPN_ImageClassifier_Double(int nrPixels, int nrHiddens1, int nrHiddens2, int nrClasses, BiasNodes bias, double minInput, double maxInput) : this(VisionLabPINVOKE.new_BPN_ImageClassifier_Double__SWIG_1(nrPixels, nrHiddens1, nrHiddens2, nrClasses, (int)bias, minInput, maxInput), true) { if (VisionLabPINVOKE.SWIGPendingException.Pending) { throw VisionLabPINVOKE.SWIGPendingException.Retrieve(); } }