#include <BALL/QSAR/pcrModel.h>
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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 | 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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Definition at line 26 of file pcrModel.h.
◆ PCRModel()
| BALL::QSAR::PCRModel::PCRModel |
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const QSARData & |
q, |
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double |
frac_var = 0.99 |
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) |
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constructur
- Parameters
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| q | QSAR-wrapper object, from which the data for this model should be taken |
| frac_var | the part of the variance that is to be explained by the latent variables; as many latent variables as necessary to achieve this are created |
◆ ~PCRModel()
| BALL::QSAR::PCRModel::~PCRModel |
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◆ calculateEigenvectors()
| static void BALL::QSAR::PCRModel::calculateEigenvectors |
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const Eigen::MatrixXd & |
data, |
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double |
frac_var, |
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Eigen::MatrixXd & |
output |
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) |
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static |
calculates the first eigenvectors of the given matrix 'data' and saves them as columns of matrix 'output'
- Parameters
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| frac_var | the fraction of the variance that is to the covered the selected eigenvectors |
◆ getParameters()
| vector<double> BALL::QSAR::PCRModel::getParameters |
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const |
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virtual |
◆ setFracVar()
| void BALL::QSAR::PCRModel::setFracVar |
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double |
frac_var | ) |
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set the fraction of the variance that should be explained by the latente variables.
◆ setParameters()
| void BALL::QSAR::PCRModel::setParameters |
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vector< double > & |
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virtual |
sets the model parameters according to the given values.
Reimplemented from BALL::QSAR::Model.
◆ train()
| void BALL::QSAR::PCRModel::train |
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virtual |
Starts principal component regression with the current data and saves the resulting linear combination of descriptors to training_result.
Implements BALL::QSAR::Model.
◆ frac_var_
| double BALL::QSAR::PCRModel::frac_var_ |
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protected |
fraction of the variance that is to be explained
Definition at line 68 of file pcrModel.h.