| CanReadFile(const std::string &) override | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| CanWriteFile(const std::string &) override | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| ConfidenceListSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| ConfidenceSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| ConfidenceValueType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| ConstPointer typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| CreateAnother(void) const | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| DoPredict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const override | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| DoPredictBatch(const InputListSampleType *input, const unsigned int &startIndex, const unsigned int &size, TargetListSampleType *target, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const | otb::MachineLearningModel< TInputValue, TTargetValue > | privatevirtual |
| GetCalculateVariableImportance() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetComputeMargin() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetComputeSurrogateSplit() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetDimension() | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetForestAccuracy() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetInputListSample() const | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetMaxDepth() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetMaxNumberOfCategories() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetMaxNumberOfTrees() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetMaxNumberOfVariables() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetMinSampleCount() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetNameOfClass() const | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| MachineLearningModel< TInputValue, TTargetValue >::GetNameOfClass() const | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetPriors() const | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | inline |
| GetRegressionAccuracy() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetRegressionMode() | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetTerminationCriteria() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| GetTrainError() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| GetVariableImportance() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| HasConfidenceIndex() const | otb::MachineLearningModel< TInputValue, TTargetValue > | inline |
| HasProbaIndex() const | otb::MachineLearningModel< TInputValue, TTargetValue > | inline |
| InputListSampleType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| InputSampleType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| InputValueType typedef | otb::RandomForestsMachineLearningModel< 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::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| m_CalculateVariableImportance | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ComputeMargin | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ComputeSurrogateSplit | otb::RandomForestsMachineLearningModel< 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_ForestAccuracy | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_InputListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_IsDoPredictBatchMultiThreaded | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_IsRegressionSupported | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_MaxDepth | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_MaxNumberOfCategories | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_MaxNumberOfTrees | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_MaxNumberOfVariables | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_MinSampleCount | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_Priors | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ProbaIndex | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_RegressionAccuracy | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_RegressionMode | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_RFModel | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_TargetListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| m_TerminationCriteria | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| m_ValidationListSample | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| MachineLearningModel() | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| MachineLearningModel(const Self &)=delete | otb::MachineLearningModel< TInputValue, TTargetValue > | private |
| New() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | static |
| operator=(const Self &)=delete | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| Pointer typedef | otb::RandomForestsMachineLearningModel< 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::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| ProbaListSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| ProbaSampleType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| RandomForestsMachineLearningModel() | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
| RandomForestsMachineLearningModel(const Self &)=delete | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | private |
| RFType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| Save(const std::string &filename, const std::string &name="") override | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| Self typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| SetCalculateVariableImportance(bool _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetComputeMargin(bool _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetComputeSurrogateSplit(bool _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetDimension(unsigned int _arg) | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetForestAccuracy(float _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetInputListSample(InputListSampleType *_arg) | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetMaxDepth(int _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetMaxNumberOfCategories(int _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetMaxNumberOfTrees(int _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetMaxNumberOfVariables(int _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetMinSampleCount(int _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetPriors(const std::vector< float > &priors) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | inline |
| SetRegressionAccuracy(double _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetRegressionMode(bool flag) | otb::MachineLearningModel< TInputValue, TTargetValue > | |
| SetTargetListSample(TargetListSampleType *_arg) | otb::MachineLearningModel< TInputValue, TTargetValue > | virtual |
| SetTerminationCriteria(int _arg) | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| Superclass typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| TargetListSampleType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| TargetSampleType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| TargetValueType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| Train() override | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | virtual |
| VariableImportanceMatrixType typedef | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | |
| ~MachineLearningModel() override=default | otb::MachineLearningModel< TInputValue, TTargetValue > | protected |
| ~RandomForestsMachineLearningModel() override=default | otb::RandomForestsMachineLearningModel< TInputValue, TTargetValue > | protected |
1.8.17