SourcePro® 2023.1 |
SourcePro® API Reference Guide |
Calculates model parameter estimates from logistic regression data using the iterative least squares method. More...
#include <rw/analytics/loglsq.h>
Public Member Functions | |
RWLogisticIterLSQ () | |
RWLogisticIterLSQ (const RWLogisticIterLSQ &nr) | |
virtual void | addObsToBaseCalc (const RWAddObservations< double, bool > &dataChange) |
virtual void | addPredToBaseCalc (const RWAddPredictors< double, bool > &dataChange) |
virtual void | calc (const RWGenMat< double > &predictors, const RWMathVec< bool > &observations) |
virtual RWRegressionCalc< double, bool > * | clone () const |
virtual bool | fail () const |
virtual RWCString | name () const |
RWLogisticIterLSQ & | operator= (const RWLogisticIterLSQ &) |
virtual RWMathVec< double > | parameters () const |
virtual void | removeObsFromBaseCalc (const RWRemoveObservations< double, bool > &dataChange) |
virtual void | removePredFromBaseCalc (const RWRemovePredictors< double, bool > &dataChange) |
virtual void | setBaseCalc (const RWGenMat< double > &r, const RWMathVec< bool > &o) |
Public Member Functions inherited from RWRegressionCalc< double, bool > | |
RWRegressionCalc () | |
Class RWLogisticIterLSQ calculates model parameter estimates from logistic regression data using the iterative least squares method described in the Business Analysis Module User's Guide.
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Constructs an empty RWLogisticIterLSQ object.
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inline |
Copy constructor.
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inlinevirtual |
Recalculates the regression model using an additional set of predictor-observation data pairs. This method offers the option of using results from the base calculation to calculate the coefficients for the larger data set. Consequently, this method can be called only when a base calculation has been set using setBaseCalc(). The input variable provides the additional data.
Reimplemented from RWRegressionCalc< double, bool >.
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Expands the regression model to include new predictor variables. This method offers the option of using results from the base calculation to calculate the coefficients for the larger predictor set. Consequently, this method can be called only when a base calculation has been set using setBaseCalc(). The input variable contains the data for the added predictor variables.
Reimplemented from RWRegressionCalc< double, bool >.
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Calculates the parameters for the regression model. Invoking this method does not affect the state of any existing base calculation.
Implements RWRegressionCalc< double, bool >.
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inlinevirtual |
Allocates and creates a clone, or exact copy, of the current instance, and returns a pointer to the copy. Caller is responsible for deleting the returned object.
Implements RWRegressionCalc< double, bool >.
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inlinevirtual |
Returns true
if the calculation failed.
Implements RWRegressionCalc< double, bool >.
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Returns the name of the calculation method.
Implements RWRegressionCalc< double, bool >.
RWLogisticIterLSQ& RWLogisticIterLSQ::operator= | ( | const RWLogisticIterLSQ & | ) |
Assignment operator.
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virtual |
Returns the parameters from the last calculation performed. If the calculation failed, and this method is called, an exception of type RWInternalErr is thrown.
Implements RWRegressionCalc< double, bool >.
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inlinevirtual |
Modifies the regression model by removing a set of contiguous predictor-observation data pairs, and recalculating the parameters. This method offers the option of using results from the base calculation to calculate the coefficients for the smaller data set. Consequently, this method can be called only when a base calculation has been set using setBaseCalc(). The input variable indicates the indices of the rows to be removed from the regression matrix and from the observation vector used in the base calculation.
Reimplemented from RWRegressionCalc< double, bool >.
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Shrinks the regression model to exclude previously used predictor variables. This method offers the option of using results from the base calculation to calculate the coefficients for the smaller predictor set. Consequently, this method can be called only when a base calculation has been set using setBaseCalc(). The input variable indicates the indices of the columns to be removed from the regression matrix used in the base calculation.
Reimplemented from RWRegressionCalc< double, bool >.
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virtual |
Calculates the coefficients for the input regression data and sets the base calculation to this calculation.
Reimplemented from RWRegressionCalc< double, bool >.
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