| ActivationFunctions enum name | cv::ml::ANN_MLP | |
| Algorithm() | cv::Algorithm | |
| ANNEAL enum value | cv::ml::ANN_MLP | |
| BACKPROP enum value | cv::ml::ANN_MLP | |
| calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const | cv::ml::StatModel | virtual |
| clear() | cv::Algorithm | inlinevirtual |
| COMPRESSED_INPUT enum value | cv::ml::StatModel | |
| create() | cv::ml::ANN_MLP | static |
| empty() const | cv::ml::StatModel | virtual |
| Flags enum name | cv::ml::StatModel | |
| GAUSSIAN enum value | cv::ml::ANN_MLP | |
| getAnnealCoolingRatio() const =0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| getAnnealFinalT() const =0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| getAnnealInitialT() const =0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| getAnnealItePerStep() const =0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| getBackpropMomentumScale() const =0 | cv::ml::ANN_MLP | pure virtual |
| getBackpropWeightScale() const =0 | cv::ml::ANN_MLP | pure virtual |
| getDefaultName() const | cv::Algorithm | virtual |
| getLayerSizes() const =0 | cv::ml::ANN_MLP | pure virtual |
| getRpropDW0() const =0 | cv::ml::ANN_MLP | pure virtual |
| getRpropDWMax() const =0 | cv::ml::ANN_MLP | pure virtual |
| getRpropDWMin() const =0 | cv::ml::ANN_MLP | pure virtual |
| getRpropDWMinus() const =0 | cv::ml::ANN_MLP | pure virtual |
| getRpropDWPlus() const =0 | cv::ml::ANN_MLP | pure virtual |
| getTermCriteria() const =0 | cv::ml::ANN_MLP | pure virtual |
| getTrainMethod() const =0 | cv::ml::ANN_MLP | pure virtual |
| getVarCount() const =0 | cv::ml::StatModel | pure virtual |
| getWeights(int layerIdx) const =0 | cv::ml::ANN_MLP | pure virtual |
| IDENTITY enum value | cv::ml::ANN_MLP | |
| isClassifier() const =0 | cv::ml::StatModel | pure virtual |
| isTrained() const =0 | cv::ml::StatModel | pure virtual |
| LEAKYRELU enum value | cv::ml::ANN_MLP | |
| load(const String &filepath) | cv::ml::ANN_MLP | static |
| cv::ml::StatModel::load(const String &filename, const String &objname=String()) | cv::Algorithm | inlinestatic |
| loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic |
| NO_INPUT_SCALE enum value | cv::ml::ANN_MLP | |
| NO_OUTPUT_SCALE enum value | cv::ml::ANN_MLP | |
| predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0 | cv::ml::StatModel | pure virtual |
| PREPROCESSED_INPUT enum value | cv::ml::StatModel | |
| RAW_OUTPUT enum value | cv::ml::StatModel | |
| read(const FileNode &fn) | cv::Algorithm | inlinevirtual |
| read(const FileNode &fn) | cv::Algorithm | inlinestatic |
| RELU enum value | cv::ml::ANN_MLP | |
| RPROP enum value | cv::ml::ANN_MLP | |
| save(const String &filename) const | cv::Algorithm | virtual |
| setActivationFunction(int type, double param1=0, double param2=0)=0 | cv::ml::ANN_MLP | pure virtual |
| setAnnealCoolingRatio(double val)=0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| setAnnealEnergyRNG(const RNG &rng)=0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| setAnnealFinalT(double val)=0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| setAnnealInitialT(double val)=0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| setAnnealItePerStep(int val)=0 | cv::ml::ANN_MLP_ANNEAL | pure virtual |
| setBackpropMomentumScale(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setBackpropWeightScale(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setLayerSizes(InputArray _layer_sizes)=0 | cv::ml::ANN_MLP | pure virtual |
| setRpropDW0(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setRpropDWMax(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setRpropDWMin(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setRpropDWMinus(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setRpropDWPlus(double val)=0 | cv::ml::ANN_MLP | pure virtual |
| setTermCriteria(TermCriteria val)=0 | cv::ml::ANN_MLP | pure virtual |
| setTrainMethod(int method, double param1=0, double param2=0)=0 | cv::ml::ANN_MLP | pure virtual |
| SIGMOID_SYM enum value | cv::ml::ANN_MLP | |
| train(const Ptr< TrainData > &trainData, int flags=0) | cv::ml::StatModel | virtual |
| train(InputArray samples, int layout, InputArray responses) | cv::ml::StatModel | virtual |
| train(const Ptr< TrainData > &data, int flags=0) | cv::ml::StatModel | inlinestatic |
| TrainFlags enum name | cv::ml::ANN_MLP | |
| TrainingMethods enum name | cv::ml::ANN_MLP | |
| UPDATE_MODEL enum value | cv::ml::StatModel | |
| UPDATE_WEIGHTS enum value | cv::ml::ANN_MLP | |
| write(FileStorage &fs) const | cv::Algorithm | inlinevirtual |
| write(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm | |
| writeFormat(FileStorage &fs) const | cv::Algorithm | protected |
| ~Algorithm() | cv::Algorithm | virtual |
1.8.12