 |
OpenANN
1.1.0
An open source library for artificial neural networks.
|
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Pages
|
OpenANN
1.1.0
An open source library for artificial neural networks.
|
This is the complete list of members for OpenANN::Learner, including all inherited members.
| currentParameters()=0 | OpenANN::Optimizable | pure virtual |
| deleteTrainSet | OpenANN::Learner | protected |
| deleteValidSet | OpenANN::Learner | protected |
| dimension()=0 | OpenANN::Optimizable | pure virtual |
| error()=0 | OpenANN::Optimizable | pure virtual |
| error(unsigned n) | OpenANN::Optimizable | inlinevirtual |
| error(std::vector< int >::const_iterator startN, std::vector< int >::const_iterator endN) | OpenANN::Optimizable | virtual |
| errorGradient(int n, double &value, Eigen::VectorXd &grad) | OpenANN::Optimizable | virtual |
| errorGradient(double &value, Eigen::VectorXd &grad) | OpenANN::Optimizable | virtual |
| errorGradient(std::vector< int >::const_iterator startN, std::vector< int >::const_iterator endN, double &value, Eigen::VectorXd &grad) | OpenANN::Optimizable | virtual |
| examples() | OpenANN::Optimizable | inlinevirtual |
| finishedIteration() | OpenANN::Optimizable | inlinevirtual |
| gradient()=0 | OpenANN::Optimizable | pure virtual |
| gradient(unsigned n) | OpenANN::Optimizable | inlinevirtual |
| gradient(std::vector< int >::const_iterator startN, std::vector< int >::const_iterator endN) | OpenANN::Optimizable | virtual |
| initialize()=0 | OpenANN::Optimizable | pure virtual |
| Learner() | OpenANN::Learner | |
| N | OpenANN::Learner | protected |
| operator()(const Eigen::VectorXd &x)=0 | OpenANN::Learner | pure virtual |
| operator()(const Eigen::MatrixXd &X)=0 | OpenANN::Learner | pure virtual |
| providesGradient()=0 | OpenANN::Optimizable | pure virtual |
| providesInitialization()=0 | OpenANN::Optimizable | pure virtual |
| removeTrainingSet() | OpenANN::Learner | virtual |
| removeValidationSet() | OpenANN::Learner | virtual |
| setParameters(const Eigen::VectorXd ¶meters)=0 | OpenANN::Optimizable | pure virtual |
| trainingSet(Eigen::MatrixXd &input, Eigen::MatrixXd &output) | OpenANN::Learner | virtual |
| trainingSet(DataSet &trainingSet) | OpenANN::Learner | virtual |
| trainSet | OpenANN::Learner | protected |
| validationSet(Eigen::MatrixXd &input, Eigen::MatrixXd &output) | OpenANN::Learner | virtual |
| validationSet(DataSet &validationSet) | OpenANN::Learner | virtual |
| validSet | OpenANN::Learner | protected |
| ~Learner() | OpenANN::Learner | virtual |
| ~Optimizable() | OpenANN::Optimizable | inlinevirtual |
1.8.4