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ImFusion SDK 4.3
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ImFusion SDK 4.3
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This is the complete list of members for LinearRegression, including all inherited members.
| computeResiduals(const std::vector< T > &x, const std::vector< T > &y) (defined in LinearRegression) | LinearRegression | |
| computeResiduals(float **data, const float *labels, size_t nData) const (defined in LinearRegression) | LinearRegression | virtual |
| Configurable()=default (defined in Configurable) | Configurable | |
| Configurable(const Configurable &rhs) (defined in Configurable) | Configurable | |
| Configurable(Configurable &&rhs) noexcept (defined in Configurable) | Configurable | |
| configuration(Properties *p) const override | Regression | virtual |
| configure(const Properties *p) override | Regression | virtual |
| configureDefaults() | Configurable | virtual |
| generateBalancedData(float **features, const float *labels, size_t nData, float **&balancedFeatures, float *&balancedLabels, size_t &balancedNbData) (defined in Regression) | Regression | protected |
| initializeWeights() (defined in Regression) | Regression | protectedvirtual |
| LinearRegression(int dimFeatures) (defined in LinearRegression) | LinearRegression | |
| m_dimFeatures (defined in Regression) | Regression | protected |
| m_params | Configurable | protected |
| m_rebalanceDataset (defined in Regression) | Regression | protected |
| m_weights (defined in Regression) | Regression | protected |
| operator=(const Configurable &) (defined in Configurable) | Configurable | |
| operator=(Configurable &&) noexcept (defined in Configurable) | Configurable | |
| predict(const float *data) const override (defined in LinearRegression) | LinearRegression | virtual |
| predict(const std::vector< float > &data) const (defined in LinearRegression) | LinearRegression | |
| registerParameter(ParameterBase *param) | Configurable | |
| Regression(int dimFeatures) (defined in Regression) | Regression | |
| signalParametersChanged | Configurable | |
| train(float **data, const float *labels, size_t nData) override (defined in LinearRegression) | LinearRegression | virtual |
| train(const std::vector< T > &x, const std::vector< T > &y) | LinearRegression | |
| train(const std::vector< std::vector< float > > &data, const std::vector< float > &labels) (defined in LinearRegression) | LinearRegression | |
| trainBalanced(float **data, const float *labels, size_t nData) (defined in Regression) | Regression | protected |
| unregisterParameter(const ParameterBase *param) | Configurable | |
| weights() const (defined in Regression) | Regression | inline |
| ~Configurable() (defined in Configurable) | Configurable | virtual |
| ~LinearRegression() override (defined in LinearRegression) | LinearRegression | |
| ~Regression()=default (defined in Regression) | Regression | virtual |