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| KPLSModel (const QSARData &q, int k_type, double p1, double p2=-1) |
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| KPLSModel (const QSARData &q, Eigen::VectorXd &w) |
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| KPLSModel (const QSARData &q, String s1, String s2) |
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| KPLSModel (const QSARData &q, const LinearModel &lm, int column) |
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| ~KPLSModel () |
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void | train () |
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bool | optimizeParameters (int k, int no_steps) |
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int | getNoComponents () |
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void | setNoComponents (int d) |
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const Eigen::MatrixXd * | getU () |
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void | setParameters (vector< double > &v) |
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vector< double > | getParameters () const |
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| KernelModel (const QSARData &q, int k_type, double p1, double p2) |
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| KernelModel (const QSARData &q, String f, String g) |
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| KernelModel (const QSARData &q, Eigen::VectorXd &w) |
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| KernelModel (const QSARData &q, const LinearModel &lm, int column) |
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| ~KernelModel () |
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virtual void | saveToFile (string filename) |
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virtual void | readFromFile (string filename) |
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virtual Eigen::VectorXd | predict (const vector< double > &substance, bool transform) |
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void | operator= (const Model &m) |
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| NonLinearModel (const QSARData &q) |
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| ~NonLinearModel () |
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| RegressionModel (const QSARData &q) |
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| ~RegressionModel () |
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virtual
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
void | operator= (const RegressionModel &m) |
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const Eigen::MatrixXd * | getTrainingResult () const |
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void | show () |
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| Model (const QSARData &q) |
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virtual | ~Model () |
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void | copyData (const Model &m) |
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void | copyDescriptorIDs (const Model &m) |
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void | readTrainingData () |
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void | deleteDescriptorIDs () |
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bool | optimizeParameters (int k) |
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virtual double | calculateStdErr () |
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std::multiset< unsigned int > * | getDescriptorIDs () |
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void | setDataSource (const QSARData *q) |
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const Eigen::MatrixXd * | getDescriptorMatrix () |
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const vector< string > * | getSubstanceNames () |
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const vector< string > * | getDescriptorNames () |
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const Eigen::MatrixXd | getDescriptorTransformations () |
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const Eigen::MatrixXd | getYTransformations () |
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const Eigen::MatrixXd * | getY () |
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void | setDescriptorIDs (const std::multiset< unsigned int > &sl) |
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const string * | getType () |
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void | getUnnormalizedFeatureValue (int compound, int feature, double &return_value) |
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void | getUnnormalizedResponseValue (int compound, int response, double &return_value) |
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| LatentVariableModel () |
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const Eigen::MatrixXd * | getLatentVariables () |
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const Eigen::MatrixXd * | getWeights () |
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const Eigen::MatrixXd * | getLoadings () |
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Kernel * | kernel |
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RegressionValidation * | validation |
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const QSARData * | data |
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Validation * | model_val |
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void | calculateOffsets () |
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void | readKernelParametersFromFile (std::ifstream &in) |
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void | saveKernelParametersToFile (std::ofstream &out) |
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void | saveTrainingResult (std::ofstream &out) |
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void | readTrainingResult (std::ifstream &input, int no_substances, int no_y) |
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void | readDescriptorInformationFromFile (std::ifstream &in, int no_descriptors, bool transformation, int no_coefficients) |
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void | saveDescriptorInformationToFile (std::ofstream &out) |
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void | readMatrix (Eigen::MatrixXd &mat, std::ifstream &in, unsigned int lines, unsigned int col) |
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void | readVector (Eigen::RowVectorXd &vec, std::ifstream &in, unsigned int no_cells, bool column_vector) |
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void | readModelParametersFromFile (std::ifstream &in) |
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void | saveModelParametersToFile (std::ofstream &out) |
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virtual void | readDescriptorInformationFromFile (std::ifstream &in, int no_descriptors, bool transformation) |
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void | readResponseTransformationFromFile (std::ifstream &in, int no_y) |
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void | saveResponseTransformationToFile (std::ofstream &out) |
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Eigen::VectorXd | getSubstanceVector (const vector< double > &substance, bool transform) |
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Eigen::VectorXd | getSubstanceVector (const Eigen::VectorXd &substance, bool transform) |
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void | backTransformPrediction (Eigen::VectorXd &pred) |
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void | addLambda (Eigen::MatrixXd &matrix, double &lambda) |
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void | readDescriptorInformation () |
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kernel partial-least-squares class
Definition at line 26 of file kplsModel.h.