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KSquare Utilities
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KSquare Utilities
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This is the complete list of members for KKMLL::ModelSvmBase, including all inherited members.
| AddErrorMsg(const KKStr &errMsg, kkint32 lineNum) | KKMLL::Model | protected |
| AllocatePredictionVariables() | KKMLL::Model | protected |
| alreadyNormalized | KKMLL::Model | protected |
| AlreadyNormalized() const | KKMLL::Model | inline |
| classes | KKMLL::Model | protected |
| classesIndex | KKMLL::Model | protected |
| classProbs | KKMLL::Model | protected |
| CreateAModel(ModelTypes _modelType, const KKStr &_name, const ModelParam &_param, FactoryFVProducerPtr _factoryFVProducer, VolConstBool &_cancelFlag, RunLog &_log) | KKMLL::Model | static |
| crossClassProbTable | KKMLL::Model | protected |
| crossClassProbTableSize | KKMLL::Model | protected |
| DeAllocateSpace() | KKMLL::Model | protected |
| Description() const | KKMLL::ModelSvmBase | virtual |
| Duplicate() const | KKMLL::ModelSvmBase | virtual |
| Encoder() const | KKMLL::Model | |
| encoder | KKMLL::Model | protected |
| errors | KKMLL::Model | protected |
| FactoryFVProducer() const | KKMLL::Model | inline |
| factoryFVProducer | KKMLL::Model | protected |
| fileDesc | KKMLL::Model | protected |
| GetFeatureNums() const | KKMLL::Model | virtual |
| MemoryConsumedEstimated() const | KKMLL::ModelSvmBase | virtual |
| MLClasses() const | KKMLL::Model | inline |
| MLClassesNewInstance() const | KKMLL::Model | |
| Model() | KKMLL::Model | |
| Model(FactoryFVProducerPtr _factoryFVProducer) | KKMLL::Model | |
| Model(const KKStr &_name, const ModelParam &_param, FactoryFVProducerPtr _factoryFVProducer) | KKMLL::Model | |
| Model(const Model &_madel) | KKMLL::Model | |
| ModelPtr typedef | KKMLL::Model | |
| ModelSvmBase() | KKMLL::ModelSvmBase | |
| ModelSvmBase(FactoryFVProducerPtr _factoryFVProducer) | KKMLL::ModelSvmBase | |
| ModelSvmBase(const KKStr &_name, const ModelParamSvmBase &_param, FactoryFVProducerPtr _factoryFVProducer) | KKMLL::ModelSvmBase | |
| ModelSvmBase(const ModelSvmBase &_model) | KKMLL::ModelSvmBase | |
| ModelSvmBasePtr typedef | KKMLL::ModelSvmBase | |
| ModelType() const | KKMLL::ModelSvmBase | inlinevirtual |
| ModelTypeFromStr(const KKStr &_modelingTypeStr) | KKMLL::Model | static |
| ModelTypes enum name | KKMLL::Model | |
| ModelTypeStr() const | KKMLL::Model | inlinevirtual |
| ModelTypeToStr(ModelTypes _modelingType) | KKMLL::Model | static |
| Name() const | KKMLL::Model | inline |
| Name(const KKStr &_name) | KKMLL::Model | inline |
| NormalizeNominalAttributes() const | KKMLL::Model | virtual |
| NormalizeProbabilitiesWithAMinumum(kkint32 numClasses, double *probabilities, double minProbability) | KKMLL::Model | protected |
| normParms | KKMLL::Model | protected |
| numOfClasses | KKMLL::Model | protected |
| NumOfSupportVectors() const | KKMLL::ModelSvmBase | virtual |
| Param() | KKMLL::ModelSvmBase | |
| KKMLL::Model::Param() const | KKMLL::Model | inline |
| param | KKMLL::ModelSvmBase | protected |
| Predict(FeatureVectorPtr image, RunLog &log) | KKMLL::ModelSvmBase | virtual |
| Predict(FeatureVectorPtr example, MLClassPtr knownClass, MLClassPtr &predClass1, MLClassPtr &predClass2, kkint32 &predClass1Votes, kkint32 &predClass2Votes, double &probOfKnownClass, double &predClass1Prob, double &predClass2Prob, kkint32 &numOfWinners, bool &knownClassOneOfTheWinners, double &breakTie, RunLog &log) | KKMLL::ModelSvmBase | virtual |
| PredictRaw(FeatureVectorPtr example, MLClassPtr &predClass, double &dist) | KKMLL::Model | inlinevirtual |
| PrepExampleForPrediction(FeatureVectorPtr fv, bool &newExampleCreated) | KKMLL::Model | virtual |
| ProbabilitiesByClass(FeatureVectorPtr example, RunLog &log) | KKMLL::ModelSvmBase | virtual |
| ProbabilitiesByClass(FeatureVectorPtr example, const MLClassList &_mlClasses, kkint32 *_votes, double *_probabilities, RunLog &_log) | KKMLL::ModelSvmBase | virtual |
| ProbabilitiesByClass(FeatureVectorPtr _example, const MLClassList &_mlClasses, double *_probabilities, RunLog &_log) | KKMLL::ModelSvmBase | virtual |
| ProbabilitiesByClassDual(FeatureVectorPtr example, KKStr &classifier1Desc, KKStr &classifier2Desc, ClassProbListPtr &classifier1Results, ClassProbListPtr &classifier2Results, RunLog &log) | KKMLL::Model | virtual |
| ReadXML(XmlStream &s, XmlTagConstPtr tag, VolConstBool &cancelFlag, RunLog &log) | KKMLL::ModelSvmBase | virtual |
| ReadXMLModelPost(RunLog &log) | KKMLL::Model | protected |
| ReadXMLModelToken(XmlTokenPtr t, RunLog &log) | KKMLL::Model | protected |
| ReduceTrainExamples(RunLog &log) | KKMLL::Model | protected |
| RetrieveCrossProbTable(MLClassList &classes, double **crossProbTable, RunLog &log) | KKMLL::ModelSvmBase | virtual |
| rootFileName | KKMLL::Model | protected |
| RootFileName() const | KKMLL::Model | inline |
| RootFileName(const KKStr &_rootFileName) | KKMLL::Model | inline |
| SelectedFeatures() const | KKMLL::Model | virtual |
| svmModel | KKMLL::ModelSvmBase | protected |
| TimeSaved() const | KKMLL::Model | inline |
| trainExamples | KKMLL::Model | protected |
| TrainingTime() const | KKMLL::Model | inline |
| TrainingTimeEnd() | KKMLL::Model | |
| TrainingTimeStart() | KKMLL::Model | |
| TrainModel(FeatureVectorListPtr _trainExamples, bool _alreadyNormalized, bool _takeOwnership, VolConstBool &_cancelFlag, RunLog &_log) | KKMLL::ModelSvmBase | virtual |
| TrianingPrepTime() const | KKMLL::Model | inline |
| ValidModel() const | KKMLL::Model | inline |
| validModel | KKMLL::Model | protected |
| votes | KKMLL::Model | protected |
| weOwnTrainExamples | KKMLL::Model | protected |
| WriteModelXMLFields(std::ostream &o) const | KKMLL::Model | |
| WriteXML(const KKStr &varName, ostream &o) const | KKMLL::ModelSvmBase | virtual |
| KKMLL::Model::WriteXML(const KKStr &varName, std::ostream &o) const =0 | KKMLL::Model | pure virtual |
| ~Model() | KKMLL::Model | virtual |
| ~ModelSvmBase() | KKMLL::ModelSvmBase | virtual |
1.8.11 
