OpenCV: Member List

| OpenCV 3.4.2 Open Source Computer Vision

cv::ml::ANN_MLP_ANNEAL Member List

This is the complete list of members for cv::ml::ANN_MLP_ANNEAL, including all inherited members.

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_OVERRIDE | 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