| CanReadFile(const std::string &)=0 | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | pure virtual |
| CanWriteFile(const std::string &)=0 | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | pure virtual |
| ConfidenceListSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| ConfidenceSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| ConfidenceValueType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| ConstPointer typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| DoPredict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const =0 | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | privatepure virtual |
| 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, TConfidenceValue > | privatevirtual |
| GetDimension() | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| GetInputListSample() const | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| GetNameOfClass() const | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| GetRegressionMode() | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| HasConfidenceIndex() const | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | inline |
| HasProbaIndex() const | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | inline |
| InputListSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| InputSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| InputValueType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| itkGetObjectMacro(InputListSample, InputListSampleType) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| itkGetObjectMacro(TargetListSample, TargetListSampleType) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| itkGetObjectMacro(ConfidenceListSample, ConfidenceListSampleType) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| Load(const std::string &filename, const std::string &name="")=0 | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | pure virtual |
| m_ConfidenceIndex | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_ConfidenceListSample | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_Dimension | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_InputListSample | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_IsDoPredictBatchMultiThreaded | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_IsRegressionSupported | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_ProbaIndex | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_RegressionMode | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_TargetListSample | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| m_ValidationListSample | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| MachineLearningModel() | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| MachineLearningModel(const Self &)=delete | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | private |
| operator=(const Self &)=delete | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | private |
| Pointer typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| Predict(const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| PredictBatch(const InputListSampleType *input, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| PrintSelf(std::ostream &os, itk::Indent indent) const override | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
| ProbaListSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| ProbaSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| Save(const std::string &filename, const std::string &name="")=0 | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | pure virtual |
| Self typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| SetDimension(unsigned int _arg) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| SetInputListSample(InputListSampleType *_arg) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| SetRegressionMode(bool flag) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| SetTargetListSample(TargetListSampleType *_arg) | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | virtual |
| Superclass typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| TargetListSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| TargetSampleType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| TargetValueType typedef | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | |
| Train()=0 | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | pure virtual |
| ~MachineLearningModel() override=default | otb::MachineLearningModel< TInputValue, TTargetValue, TConfidenceValue > | protected |
1.8.17