Java tutorial
// // This file is auto-generated. Please don't modify it! // package org.opencv.ml; import org.opencv.core.Mat; import org.opencv.core.TermCriteria; // C++: class ANN_MLP //javadoc: ANN_MLP public class ANN_MLP extends StatModel { protected ANN_MLP(long addr) { super(addr); } public static final int BACKPROP = 0, RPROP = 1, IDENTITY = 0, SIGMOID_SYM = 1, GAUSSIAN = 2, UPDATE_WEIGHTS = 1, NO_INPUT_SCALE = 2, NO_OUTPUT_SCALE = 4; // // C++: Mat getLayerSizes() // //javadoc: ANN_MLP::getLayerSizes() public Mat getLayerSizes() { Mat retVal = new Mat(getLayerSizes_0(nativeObj)); return retVal; } // // C++: Mat getWeights(int layerIdx) // //javadoc: ANN_MLP::getWeights(layerIdx) public Mat getWeights(int layerIdx) { Mat retVal = new Mat(getWeights_0(nativeObj, layerIdx)); return retVal; } // // C++: static Ptr_ANN_MLP create() // //javadoc: ANN_MLP::create() public static ANN_MLP create() { ANN_MLP retVal = new ANN_MLP(create_0()); return retVal; } // // C++: static Ptr_ANN_MLP load(String filepath) // //javadoc: ANN_MLP::load(filepath) public static ANN_MLP load(String filepath) { ANN_MLP retVal = new ANN_MLP(load_0(filepath)); return retVal; } // // C++: TermCriteria getTermCriteria() // //javadoc: ANN_MLP::getTermCriteria() public TermCriteria getTermCriteria() { TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj)); return retVal; } // // C++: double getBackpropMomentumScale() // //javadoc: ANN_MLP::getBackpropMomentumScale() public double getBackpropMomentumScale() { double retVal = getBackpropMomentumScale_0(nativeObj); return retVal; } // // C++: double getBackpropWeightScale() // //javadoc: ANN_MLP::getBackpropWeightScale() public double getBackpropWeightScale() { double retVal = getBackpropWeightScale_0(nativeObj); return retVal; } // // C++: double getRpropDW0() // //javadoc: ANN_MLP::getRpropDW0() public double getRpropDW0() { double retVal = getRpropDW0_0(nativeObj); return retVal; } // // C++: double getRpropDWMax() // //javadoc: ANN_MLP::getRpropDWMax() public double getRpropDWMax() { double retVal = getRpropDWMax_0(nativeObj); return retVal; } // // C++: double getRpropDWMin() // //javadoc: ANN_MLP::getRpropDWMin() public double getRpropDWMin() { double retVal = getRpropDWMin_0(nativeObj); return retVal; } // // C++: double getRpropDWMinus() // //javadoc: ANN_MLP::getRpropDWMinus() public double getRpropDWMinus() { double retVal = getRpropDWMinus_0(nativeObj); return retVal; } // // C++: double getRpropDWPlus() // //javadoc: ANN_MLP::getRpropDWPlus() public double getRpropDWPlus() { double retVal = getRpropDWPlus_0(nativeObj); return retVal; } // // C++: int getTrainMethod() // //javadoc: ANN_MLP::getTrainMethod() public int getTrainMethod() { int retVal = getTrainMethod_0(nativeObj); return retVal; } // // C++: void setActivationFunction(int type, double param1 = 0, double param2 = 0) // //javadoc: ANN_MLP::setActivationFunction(type, param1, param2) public void setActivationFunction(int type, double param1, double param2) { setActivationFunction_0(nativeObj, type, param1, param2); return; } //javadoc: ANN_MLP::setActivationFunction(type) public void setActivationFunction(int type) { setActivationFunction_1(nativeObj, type); return; } // // C++: void setBackpropMomentumScale(double val) // //javadoc: ANN_MLP::setBackpropMomentumScale(val) public void setBackpropMomentumScale(double val) { setBackpropMomentumScale_0(nativeObj, val); return; } // // C++: void setBackpropWeightScale(double val) // //javadoc: ANN_MLP::setBackpropWeightScale(val) public void setBackpropWeightScale(double val) { setBackpropWeightScale_0(nativeObj, val); return; } // // C++: void setLayerSizes(Mat _layer_sizes) // //javadoc: ANN_MLP::setLayerSizes(_layer_sizes) public void setLayerSizes(Mat _layer_sizes) { setLayerSizes_0(nativeObj, _layer_sizes.nativeObj); return; } // // C++: void setRpropDW0(double val) // //javadoc: ANN_MLP::setRpropDW0(val) public void setRpropDW0(double val) { setRpropDW0_0(nativeObj, val); return; } // // C++: void setRpropDWMax(double val) // //javadoc: ANN_MLP::setRpropDWMax(val) public void setRpropDWMax(double val) { setRpropDWMax_0(nativeObj, val); return; } // // C++: void setRpropDWMin(double val) // //javadoc: ANN_MLP::setRpropDWMin(val) public void setRpropDWMin(double val) { setRpropDWMin_0(nativeObj, val); return; } // // C++: void setRpropDWMinus(double val) // //javadoc: ANN_MLP::setRpropDWMinus(val) public void setRpropDWMinus(double val) { setRpropDWMinus_0(nativeObj, val); return; } // // C++: void setRpropDWPlus(double val) // //javadoc: ANN_MLP::setRpropDWPlus(val) public void setRpropDWPlus(double val) { setRpropDWPlus_0(nativeObj, val); return; } // // C++: void setTermCriteria(TermCriteria val) // //javadoc: ANN_MLP::setTermCriteria(val) public void setTermCriteria(TermCriteria val) { setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon); return; } // // C++: void setTrainMethod(int method, double param1 = 0, double param2 = 0) // //javadoc: ANN_MLP::setTrainMethod(method, param1, param2) public void setTrainMethod(int method, double param1, double param2) { setTrainMethod_0(nativeObj, method, param1, param2); return; } //javadoc: ANN_MLP::setTrainMethod(method) public void setTrainMethod(int method) { setTrainMethod_1(nativeObj, method); return; } @Override protected void finalize() throws Throwable { delete(nativeObj); } // C++: Mat getLayerSizes() private static native long getLayerSizes_0(long nativeObj); // C++: Mat getWeights(int layerIdx) private static native long getWeights_0(long nativeObj, int layerIdx); // C++: static Ptr_ANN_MLP create() private static native long create_0(); // C++: static Ptr_ANN_MLP load(String filepath) private static native long load_0(String filepath); // C++: TermCriteria getTermCriteria() private static native double[] getTermCriteria_0(long nativeObj); // C++: double getBackpropMomentumScale() private static native double getBackpropMomentumScale_0(long nativeObj); // C++: double getBackpropWeightScale() private static native double getBackpropWeightScale_0(long nativeObj); // C++: double getRpropDW0() private static native double getRpropDW0_0(long nativeObj); // C++: double getRpropDWMax() private static native double getRpropDWMax_0(long nativeObj); // C++: double getRpropDWMin() private static native double getRpropDWMin_0(long nativeObj); // C++: double getRpropDWMinus() private static native double getRpropDWMinus_0(long nativeObj); // C++: double getRpropDWPlus() private static native double getRpropDWPlus_0(long nativeObj); // C++: int getTrainMethod() private static native int getTrainMethod_0(long nativeObj); // C++: void setActivationFunction(int type, double param1 = 0, double param2 = 0) private static native void setActivationFunction_0(long nativeObj, int type, double param1, double param2); private static native void setActivationFunction_1(long nativeObj, int type); // C++: void setBackpropMomentumScale(double val) private static native void setBackpropMomentumScale_0(long nativeObj, double val); // C++: void setBackpropWeightScale(double val) private static native void setBackpropWeightScale_0(long nativeObj, double val); // C++: void setLayerSizes(Mat _layer_sizes) private static native void setLayerSizes_0(long nativeObj, long _layer_sizes_nativeObj); // C++: void setRpropDW0(double val) private static native void setRpropDW0_0(long nativeObj, double val); // C++: void setRpropDWMax(double val) private static native void setRpropDWMax_0(long nativeObj, double val); // C++: void setRpropDWMin(double val) private static native void setRpropDWMin_0(long nativeObj, double val); // C++: void setRpropDWMinus(double val) private static native void setRpropDWMinus_0(long nativeObj, double val); // C++: void setRpropDWPlus(double val) private static native void setRpropDWPlus_0(long nativeObj, double val); // C++: void setTermCriteria(TermCriteria val) private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon); // C++: void setTrainMethod(int method, double param1 = 0, double param2 = 0) private static native void setTrainMethod_0(long nativeObj, int method, double param1, double param2); private static native void setTrainMethod_1(long nativeObj, int method); // native support for java finalize() private static native void delete(long nativeObj); }