Package biz.sc.mm.dm.algorithm.regression.logistic

Logistic regression algorithm settings and model.

See: Description

Interface Summary

Interface	Description
LogisticRegressionApplyOutput	Apply output specification for logistic regression applying process.
LogisticRegressionApplyOutputFactory	Factory for LogisticRegressionApplyOutput.
LogisticRegressionModel	Interface common for all logistic regression models (Logit/Probit/Fisher-Score).
LogisticRegressionOutputItem	Defines logistic regression output item.
LogisticRegressionOutputItemFactory	Factory for LogisticRegressionOutputItem.
LogisticRegressionSettings	Logistic regression algorithm settings.
LogisticRegressionSettingsFactory	Factory for logistic regression algorithm settings.

Class Summary

Class	Description
LinkFunctionType	Link function type for logistic regression models (e.g.logit, probit).
LogisticEstimationMethod	Logistic regression model estimation method (e.g.fisher or newton).
LogisticRegressionOutputType	Defines possible output types adequate for logistic regression models.
MulticategoryModelType	Multicategory model type for logistic regression models (e.g.cumulative logit/probit).

Package biz.sc.mm.dm.algorithm.regression.logistic Description

Logistic regression algorithm settings and model.