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BALL::QSAR::MLRModel Class Reference

#include <BALL/QSAR/mlrModel.h>

Inheritance diagram for BALL::QSAR::MLRModel:
BALL::QSAR::LinearModel BALL::QSAR::RegressionModel BALL::QSAR::Model BALL::QSAR::RRModel

Public Member Functions

Constructors and Destructors
 MLRModel (const QSARData &q)
 
 ~MLRModel ()
 
Accessors
virtual void train ()
 
- Public Member Functions inherited from BALL::QSAR::LinearModel
 LinearModel (const QSARData &q)
 
 ~LinearModel ()
 
virtual void operator= (const LinearModel &m)
 
virtual Eigen::VectorXd predict (const vector< double > &substance, bool transform=1)
 
- Public Member Functions inherited from BALL::QSAR::RegressionModel
 RegressionModel (const QSARData &q)
 
 ~RegressionModel ()
 
virtual
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
void 
operator= (const RegressionModel &m)
 
const Eigen::MatrixXd * getTrainingResult () const
 
virtual void saveToFile (string filename)
 
virtual void readFromFile (string filename)
 
void show ()
 
- Public Member Functions inherited from BALL::QSAR::Model
 Model (const QSARData &q)
 
virtual ~Model ()
 
virtual void operator= (const Model &m)
 
void copyData (const Model &m)
 
void copyDescriptorIDs (const Model &m)
 
void readTrainingData ()
 
void deleteDescriptorIDs ()
 
virtual bool optimizeParameters (int, int)
 
bool optimizeParameters (int k)
 
virtual double calculateStdErr ()
 
virtual void setParameters (vector< double > &)
 
virtual vector< doublegetParameters () const
 
std::multiset< unsigned int > * getDescriptorIDs ()
 
void setDataSource (const QSARData *q)
 
const Eigen::MatrixXd * getDescriptorMatrix ()
 
const vector< string > * getSubstanceNames ()
 
const vector< string > * getDescriptorNames ()
 
const Eigen::MatrixXd getDescriptorTransformations ()
 
const Eigen::MatrixXd getYTransformations ()
 
const Eigen::MatrixXd * getY ()
 
void setDescriptorIDs (const std::multiset< unsigned int > &sl)
 
const string * getType ()
 
void getUnnormalizedFeatureValue (int compound, int feature, double &return_value)
 
void getUnnormalizedResponseValue (int compound, int response, double &return_value)
 

Additional Inherited Members

- Public Attributes inherited from BALL::QSAR::RegressionModel
RegressionValidationvalidation
 
- Public Attributes inherited from BALL::QSAR::Model
const QSARDatadata
 
Validationmodel_val
 
- Protected Member Functions inherited from BALL::QSAR::LinearModel
void calculateOffsets ()
 
- Protected Member Functions inherited from BALL::QSAR::RegressionModel
void readDescriptorInformationFromFile (std::ifstream &in, int no_descriptors, bool transformation, int no_coefficients)
 
void saveDescriptorInformationToFile (std::ofstream &out)
 
- Protected Member Functions inherited from BALL::QSAR::Model
void readMatrix (Eigen::MatrixXd &mat, std::ifstream &in, unsigned int lines, unsigned int col)
 
void readVector (Eigen::RowVectorXd &vec, std::ifstream &in, unsigned int no_cells, bool column_vector)
 
void readModelParametersFromFile (std::ifstream &in)
 
void saveModelParametersToFile (std::ofstream &out)
 
virtual void readDescriptorInformationFromFile (std::ifstream &in, int no_descriptors, bool transformation)
 
void readResponseTransformationFromFile (std::ifstream &in, int no_y)
 
void saveResponseTransformationToFile (std::ofstream &out)
 
Eigen::VectorXd getSubstanceVector (const vector< double > &substance, bool transform)
 
Eigen::VectorXd getSubstanceVector (const Eigen::VectorXd &substance, bool transform)
 
void backTransformPrediction (Eigen::VectorXd &pred)
 
void addLambda (Eigen::MatrixXd &matrix, double &lambda)
 
void readDescriptorInformation ()
 
- Protected Attributes inherited from BALL::QSAR::RegressionModel
Eigen::MatrixXd training_result_
 
Eigen::RowVectorXd offsets_
 
- Protected Attributes inherited from BALL::QSAR::Model
int default_no_opt_steps_
 
Eigen::MatrixXd descriptor_matrix_
 
vector< string > substance_names_
 
vector< string > descriptor_names_
 
Eigen::MatrixXd descriptor_transformations_
 
Eigen::MatrixXd y_transformations_
 
Eigen::MatrixXd Y_
 
String type_
 
std::multiset< unsigned int > descriptor_IDs_
 

Detailed Description

Definition at line 22 of file mlrModel.h.

Constructor & Destructor Documentation

BALL::QSAR::MLRModel::MLRModel ( const QSARData q)

constructur

Parameters
qQSAR-wrapper object, from which the data for this model should be taken
BALL::QSAR::MLRModel::~MLRModel ( )

Member Function Documentation

virtual void BALL::QSAR::MLRModel::train ( )
virtual

Starts multiple linear regression with the current data and saves the resulting linear combination of descriptors to training_result.
In order for this to work, descriptor_matrix MUST have more rows than columns, so that the matrix is invertible !!
If this is not the case, start a feature selection method before running train() !

Implements BALL::QSAR::Model.

Reimplemented in BALL::QSAR::RRModel.