| CanReadFile(const std::string &) override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| CanWriteFile(const std::string &) override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| ComputeConfidence(shark::RealVector &probas, bool computeMargin) const | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| ConfidenceListSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| ConfidenceSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| ConfidenceValueType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| ConstPointer typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| CreateAnother(void) const | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| DoPredict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| DoPredictBatch(const InputListSampleType *, const unsigned int &startIndex, const unsigned int &size, TargetListSampleType *, ConfidenceListSampleType *=nullptr, ProbaListSampleType *=nullptr) const override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| GetComputeMargin() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetDimension() | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetInputListSample() const | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetMTry() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetNameOfClass() const | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| MachineLearningModel< TInputValue, TTargetValue >::GetNameOfClass() const | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetNodeSize() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetNormalizeClassLabels() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetNumberOfTrees() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetOobRatio() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetRegressionMode() | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| HasConfidenceIndex() const | otb::MachineLearningModel< TInputValue, TTargetValue > | inline |
| HasProbaIndex() const | otb::MachineLearningModel< TInputValue, TTargetValue > | inline |
| InputListSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| InputSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| InputValueType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| itkGetObjectMacro(InputListSample, InputListSampleType) | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| itkGetObjectMacro(TargetListSample, TargetListSampleType) | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| itkGetObjectMacro(ConfidenceListSample, ConfidenceListSampleType) | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| Load(const std::string &filename, const std::string &name="") override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| m_ClassDictionary | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ComputeMargin | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ConfidenceIndex | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_ConfidenceListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_Dimension | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_InputListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_IsDoPredictBatchMultiThreaded | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_IsRegressionSupported | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_MTry | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_NodeSize | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_NormalizeClassLabels | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_NumberOfTrees | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_OobRatio | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ProbaIndex | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_RegressionMode | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_RFModel | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_RFTrainer | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_TargetListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_ValidationListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| MachineLearningModel() | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| MachineLearningModel(const Self &)=delete | otb::MachineLearningModel< TInputValue, TTargetValue > | private |
| New() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | static |
| operator=(const Self &)=delete | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| Pointer typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| Predict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| PredictBatch(const InputListSampleType *input, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| PrintSelf(std::ostream &os, itk::Indent indent) const override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| ProbaListSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| ProbaSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| Save(const std::string &filename, const std::string &name="") override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| Self typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| SetComputeMargin(bool _arg) | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetDimension(unsigned int _arg) | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetInputListSample(InputListSampleType *_arg) | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetMTry(unsigned int _arg) | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetNodeSize(unsigned int _arg) | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetNormalizeClassLabels(bool _arg) | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetNumberOfTrees(unsigned int _arg) | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetOobRatio(float _arg) | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetRegressionMode(bool flag) | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| SetTargetListSample(TargetListSampleType *_arg) | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| SharkRandomForestsMachineLearningModel() | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| SharkRandomForestsMachineLearningModel(const Self &)=delete | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| Superclass typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| TargetListSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| TargetSampleType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| TargetValueType typedef | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| Train() override | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| ~MachineLearningModel() override=default | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| ~SharkRandomForestsMachineLearningModel() override=default | otb::SharkRandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
1.8.17