SourcePro 11.1 |
SourcePro® C++ API Reference Guide |
SourcePro C++ Documentation Home |
Classes | |
class | RWInterval< T > |
A class template for describing an interval of values. More... | |
class | RWLogRegModelSelector< F > |
For a logistic regression model, selects a subset of predictor variables that accounts for the variation in the regression model's observation variable. More... | |
class | RWLinRegModelSelector< F > |
Encapsulates four different model selection algorithms for linear regression: forward, backward, stepwise, and exhaustive. More... | |
class | RWRegressionModelSelector< T, S, F > |
The base class for the model selection classes for linear or logistic regression. More... | |
Enumerations | |
enum | RWSearchMethod { rwForwardSelection, rwBackwardSelection, rwStepwiseSelection, rwExhaustiveSelection } |
Model Selection Classes take a regression object from which they extract the regression data and calculation object. They search subsets of the predictors and select an optimal subset by applying a user-defined model evaluation function.
enum RWSearchMethod |
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