OpenCV  3.1.0
Open Source Computer Vision
cv::ml::ANN_MLP Member List

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

ActivationFunctions enum namecv::ml::ANN_MLP
Algorithm()cv::Algorithm
BACKPROP enum valuecv::ml::ANN_MLP
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const cv::ml::StatModelvirtual
clear()cv::Algorithminlinevirtual
COMPRESSED_INPUT enum valuecv::ml::StatModel
create()cv::ml::ANN_MLPstatic
empty() const cv::ml::StatModelvirtual
Flags enum namecv::ml::StatModel
GAUSSIAN enum valuecv::ml::ANN_MLP
getBackpropMomentumScale() const =0cv::ml::ANN_MLPpure virtual
getBackpropWeightScale() const =0cv::ml::ANN_MLPpure virtual
getDefaultName() const cv::Algorithmvirtual
getLayerSizes() const =0cv::ml::ANN_MLPpure virtual
getRpropDW0() const =0cv::ml::ANN_MLPpure virtual
getRpropDWMax() const =0cv::ml::ANN_MLPpure virtual
getRpropDWMin() const =0cv::ml::ANN_MLPpure virtual
getRpropDWMinus() const =0cv::ml::ANN_MLPpure virtual
getRpropDWPlus() const =0cv::ml::ANN_MLPpure virtual
getTermCriteria() const =0cv::ml::ANN_MLPpure virtual
getTrainMethod() const =0cv::ml::ANN_MLPpure virtual
getVarCount() const =0cv::ml::StatModelpure virtual
getWeights(int layerIdx) const =0cv::ml::ANN_MLPpure virtual
IDENTITY enum valuecv::ml::ANN_MLP
isClassifier() const =0cv::ml::StatModelpure virtual
isTrained() const =0cv::ml::StatModelpure virtual
load(const String &filename, const String &objname=String())cv::Algorithminlinestatic
loadFromString(const String &strModel, const String &objname=String())cv::Algorithminlinestatic
NO_INPUT_SCALE enum valuecv::ml::ANN_MLP
NO_OUTPUT_SCALE enum valuecv::ml::ANN_MLP
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0cv::ml::StatModelpure virtual
PREPROCESSED_INPUT enum valuecv::ml::StatModel
RAW_OUTPUT enum valuecv::ml::StatModel
read(const FileNode &fn)cv::Algorithminlinevirtual
read(const FileNode &fn)cv::Algorithminlinestatic
RPROP enum valuecv::ml::ANN_MLP
save(const String &filename) const cv::Algorithmvirtual
setActivationFunction(int type, double param1=0, double param2=0)=0cv::ml::ANN_MLPpure virtual
setBackpropMomentumScale(double val)=0cv::ml::ANN_MLPpure virtual
setBackpropWeightScale(double val)=0cv::ml::ANN_MLPpure virtual
setLayerSizes(InputArray _layer_sizes)=0cv::ml::ANN_MLPpure virtual
setRpropDW0(double val)=0cv::ml::ANN_MLPpure virtual
setRpropDWMax(double val)=0cv::ml::ANN_MLPpure virtual
setRpropDWMin(double val)=0cv::ml::ANN_MLPpure virtual
setRpropDWMinus(double val)=0cv::ml::ANN_MLPpure virtual
setRpropDWPlus(double val)=0cv::ml::ANN_MLPpure virtual
setTermCriteria(TermCriteria val)=0cv::ml::ANN_MLPpure virtual
setTrainMethod(int method, double param1=0, double param2=0)=0cv::ml::ANN_MLPpure virtual
SIGMOID_SYM enum valuecv::ml::ANN_MLP
train(const Ptr< TrainData > &trainData, int flags=0)cv::ml::StatModelvirtual
train(InputArray samples, int layout, InputArray responses)cv::ml::StatModelvirtual
train(const Ptr< TrainData > &data, int flags=0)cv::ml::StatModelinlinestatic
TrainFlags enum namecv::ml::ANN_MLP
TrainingMethods enum namecv::ml::ANN_MLP
UPDATE_MODEL enum valuecv::ml::StatModel
UPDATE_WEIGHTS enum valuecv::ml::ANN_MLP
write(FileStorage &fs) const cv::Algorithminlinevirtual
~Algorithm()cv::Algorithmvirtual