| CanReadFile(const std::string &filename) override | otb::SOMModel< TInputValue, MapDimension > | virtual |
| CanWriteFile(const std::string &filename) override | otb::SOMModel< TInputValue, MapDimension > | virtual |
| ConfidenceListSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| ConfidenceSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| ConfidenceValueType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| ConstPointer typedef | otb::SOMModel< TInputValue, MapDimension > | |
| CreateAnother(void) const | otb::SOMModel< TInputValue, MapDimension > | |
| DoPredict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const override | otb::SOMModel< TInputValue, MapDimension > | privatevirtual |
| DoPredictBatch(const InputListSampleType *input, const unsigned int &startIndex, const unsigned int &size, TargetListSampleType *target, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | privatevirtual |
| GetBetaEnd() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetBetaInit() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetDimension() | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| GetInputListSample() const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| GetMapSize() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetMaxWeight() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetMinWeight() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetNameOfClass() const | otb::SOMModel< TInputValue, MapDimension > | virtual |
| MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >::GetNameOfClass() const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| GetNeighborhoodSizeInit() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetNumberOfIterations() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetRandomInit() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetRegressionMode() | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| GetSeed() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| GetWriteMap() | otb::SOMModel< TInputValue, MapDimension > | virtual |
| HasConfidenceIndex() const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | inline |
| HasProbaIndex() const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | inline |
| InputListSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| InputSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| InputValueType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| itkGetObjectMacro(InputListSample, InputListSampleType) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | |
| itkGetObjectMacro(TargetListSample, TargetListSampleType) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | |
| itkGetObjectMacro(ConfidenceListSample, ConfidenceListSampleType) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | |
| ListSamplePointerType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| Load(const std::string &filename, const std::string &name="") override | otb::SOMModel< TInputValue, MapDimension > | virtual |
| m_BetaEnd | otb::SOMModel< TInputValue, MapDimension > | private |
| m_BetaFunctor | otb::SOMModel< TInputValue, MapDimension > | private |
| m_BetaInit | otb::SOMModel< TInputValue, MapDimension > | private |
| m_ConfidenceIndex | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_ConfidenceListSample | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_Dimension | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_InputListSample | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_IsDoPredictBatchMultiThreaded | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_IsRegressionSupported | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_MapSize | otb::SOMModel< TInputValue, MapDimension > | private |
| m_MaxWeight | otb::SOMModel< TInputValue, MapDimension > | private |
| m_MinWeight | otb::SOMModel< TInputValue, MapDimension > | private |
| m_NeighborhoodSizeFunctor | otb::SOMModel< TInputValue, MapDimension > | private |
| m_NeighborhoodSizeInit | otb::SOMModel< TInputValue, MapDimension > | private |
| m_NumberOfIterations | otb::SOMModel< TInputValue, MapDimension > | private |
| m_ProbaIndex | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_RandomInit | otb::SOMModel< TInputValue, MapDimension > | private |
| m_RegressionMode | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_Seed | otb::SOMModel< TInputValue, MapDimension > | private |
| m_SOMMap | otb::SOMModel< TInputValue, MapDimension > | private |
| m_TargetListSample | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_ValidationListSample | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| m_WriteMap | otb::SOMModel< TInputValue, MapDimension > | private |
| MachineLearningModel() | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| MachineLearningModel(const Self &)=delete | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | private |
| MapType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| New() | otb::SOMModel< TInputValue, MapDimension > | static |
| operator=(const Self &)=delete | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | private |
| Pointer typedef | otb::SOMModel< TInputValue, MapDimension > | |
| Predict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | |
| PredictBatch(const InputListSampleType *input, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | |
| PrintSelf(std::ostream &os, itk::Indent indent) const override | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| ProbaListSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| ProbaSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| Save(const std::string &filename, const std::string &name="") override | otb::SOMModel< TInputValue, MapDimension > | virtual |
| Self typedef | otb::SOMModel< TInputValue, MapDimension > | |
| SetBetaEnd(double _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetBetaInit(double _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetDimension(unsigned int _arg) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| SetInputListSample(InputListSampleType *_arg) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| SetMapSize(SizeType _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetMaxWeight(InputValueType _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetMinWeight(InputValueType _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetNeighborhoodSizeInit(SizeType _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetNumberOfIterations(unsigned int _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetRandomInit(bool _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetRegressionMode(bool flag) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | |
| SetSeed(unsigned int _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SetTargetListSample(TargetListSampleType *_arg) | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | virtual |
| SetWriteMap(bool _arg) | otb::SOMModel< TInputValue, MapDimension > | virtual |
| SizeType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| SOMLearningBehaviorFunctorType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| SOMModel() | otb::SOMModel< TInputValue, MapDimension > | protected |
| SOMNeighborhoodBehaviorFunctorType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| SpacingType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| Superclass typedef | otb::SOMModel< TInputValue, MapDimension > | |
| TargetListSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| TargetSampleType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| TargetValueType typedef | otb::SOMModel< TInputValue, MapDimension > | |
| Train() override | otb::SOMModel< TInputValue, MapDimension > | virtual |
| ~MachineLearningModel() override=default | otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > > | protected |
| ~SOMModel() override | otb::SOMModel< TInputValue, MapDimension > | protected |
1.8.17