OpenCV
4.0.0
Open Source Computer Vision
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This is the complete list of members for cv::ml::ANN_MLP, 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 | pure virtual |
getAnnealFinalT() const =0 | cv::ml::ANN_MLP | pure virtual |
getAnnealInitialT() const =0 | cv::ml::ANN_MLP | pure virtual |
getAnnealItePerStep() const =0 | cv::ml::ANN_MLP | 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 | pure virtual |
setAnnealEnergyRNG(const RNG &rng)=0 | cv::ml::ANN_MLP | pure virtual |
setAnnealFinalT(double val)=0 | cv::ml::ANN_MLP | pure virtual |
setAnnealInitialT(double val)=0 | cv::ml::ANN_MLP | pure virtual |
setAnnealItePerStep(int val)=0 | cv::ml::ANN_MLP | 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 |