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DMP_BBO library
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This is the complete list of members for FunctionApproximatorRBFN, including all inherited members.
| boost::serialization::access class | FunctionApproximatorRBFN | friend |
| clone(void) const | FunctionApproximatorRBFN | virtual |
| FunctionApproximator(const MetaParameters *const meta_parameters, const ModelParameters *const model_parameters=NULL) | FunctionApproximator | |
| FunctionApproximator(const ModelParameters *const model_parameters) | FunctionApproximator | |
| FunctionApproximator(void) | FunctionApproximator | inlineprotected |
| FunctionApproximatorRBFN(const MetaParametersRBFN *const meta_parameters, const ModelParametersRBFN *const model_parameters=NULL) | FunctionApproximatorRBFN | |
| FunctionApproximatorRBFN(const ModelParametersRBFN *const model_parameters) | FunctionApproximatorRBFN | |
| generateInputsGrid(const Eigen::VectorXd &min, const Eigen::VectorXd &max, const Eigen::VectorXi &n_samples_per_dim, Eigen::MatrixXd &inputs_grid) | FunctionApproximator | static |
| getExpectedInputDim(void) const | FunctionApproximator | |
| getExpectedOutputDim(void) const | FunctionApproximator | |
| getMetaParameters(void) const | FunctionApproximator | |
| getModelParameters(void) const | FunctionApproximator | |
| getName(void) const | FunctionApproximatorRBFN | inlinevirtual |
| getParameterVectorAll(Eigen::VectorXd &values) const | FunctionApproximator | virtual |
| getParameterVectorAllMinMax(Eigen::VectorXd &min, Eigen::VectorXd &max) const | Parameterizable | |
| getParameterVectorAllSize(void) const | FunctionApproximator | virtual |
| getParameterVectorMask(const std::set< std::string > selected_values_labels, Eigen::VectorXi &selected_mask) const | FunctionApproximator | virtual |
| getParameterVectorSelected(Eigen::VectorXd &values, bool normalized=false) const | FunctionApproximator | virtual |
| DmpBbo::Parameterizable::getParameterVectorSelected(std::vector< Eigen::VectorXd > &values, bool normalized=false) const | Parameterizable | |
| getParameterVectorSelectedMinMax(Eigen::VectorXd &min, Eigen::VectorXd &max) const | FunctionApproximator | |
| getParameterVectorSelectedNormalized(Eigen::VectorXd &values) const | Parameterizable | inlinevirtual |
| getParameterVectorSelectedRanges(Eigen::VectorXd &ranges) const | Parameterizable | inline |
| getParameterVectorSelectedSize(void) const | FunctionApproximator | virtual |
| getSelectableParameters(std::set< std::string > &selected_values_labels) const | FunctionApproximator | virtual |
| getUnifiedModel(void) const | FunctionApproximator | |
| getVectorLengthsPerDimension(void) const | Parameterizable | inline |
| isTrained(void) const | FunctionApproximator | inline |
| preallocateMemory(int n_basis_functions) | FunctionApproximatorRBFN | |
| predict(const Eigen::Ref< const Eigen::MatrixXd > &inputs, Eigen::MatrixXd &output) | FunctionApproximatorRBFN | virtual |
| DmpBbo::FunctionApproximator::predict(const Eigen::Ref< const Eigen::MatrixXd > &inputs, Eigen::MatrixXd &outputs, Eigen::MatrixXd &variances) | FunctionApproximator | inlinevirtual |
| DmpBbo::FunctionApproximator::predict(const Eigen::Ref< const Eigen::MatrixXd > &inputs, Eigen::MatrixXd &outputs, std::vector< Eigen::MatrixXd > &variances) | FunctionApproximator | inlinevirtual |
| predictVariance(const Eigen::Ref< const Eigen::MatrixXd > &inputs, Eigen::MatrixXd &variances) | FunctionApproximator | inlinevirtual |
| reTrain(const Eigen::Ref< const Eigen::MatrixXd > &inputs, const Eigen::Ref< const Eigen::MatrixXd > &targets) | FunctionApproximator | |
| reTrain(const Eigen::Ref< const Eigen::MatrixXd > &inputs, const Eigen::Ref< const Eigen::MatrixXd > &targets, std::string save_directory, bool overwrite=false) | FunctionApproximator | |
| saveGridData(const Eigen::VectorXd &min, const Eigen::VectorXd &max, const Eigen::VectorXi &n_samples_per_dim, std::string directory, bool overwrite=false) const | FunctionApproximatorRBFN | virtual |
| setModelParameters(ModelParameters *model_parameters) | FunctionApproximator | protected |
| setParameterVectorAll(const Eigen::VectorXd &values) | FunctionApproximator | virtual |
| setParameterVectorModifier(std::string modifier, bool new_value) | Parameterizable | |
| setParameterVectorModifierPrivate(std::string modifier, bool new_value) | FunctionApproximator | virtual |
| setParameterVectorSelected(const Eigen::VectorXd &values, bool normalized=false) | FunctionApproximator | virtual |
| DmpBbo::Parameterizable::setParameterVectorSelected(const std::vector< Eigen::VectorXd > &values, bool normalized=false) | Parameterizable | |
| setParameterVectorSelectedNormalized(const Eigen::VectorXd &values) | Parameterizable | inlinevirtual |
| setSelectedParameters(const std::set< std::string > &selected_values_labels) | FunctionApproximator | virtual |
| setSelectedParametersOne(std::string selected) | Parameterizable | inline |
| setVectorLengthsPerDimension(const Eigen::VectorXi &lengths_per_dimension) | Parameterizable | inline |
| toString(void) const | FunctionApproximator | |
| train(const Eigen::Ref< const Eigen::MatrixXd > &inputs, const Eigen::Ref< const Eigen::MatrixXd > &targets) | FunctionApproximatorRBFN | virtual |
| DmpBbo::FunctionApproximator::train(const Eigen::Ref< const Eigen::MatrixXd > &inputs, const Eigen::Ref< const Eigen::MatrixXd > &targets, std::string save_directory, bool overwrite=false) | FunctionApproximator | |
| ~FunctionApproximator(void) (defined in FunctionApproximator) | FunctionApproximator | virtual |
| ~Parameterizable(void) | Parameterizable | inlinevirtual |
1.8.11