Uses of Package
com.imsl.datamining

Packages that use com.imsl.datamining

Package	Description
com.imsl.datamining	Data mining and machine learning.
com.imsl.datamining.decisionTree	Decision trees.
com.imsl.datamining.supportvectormachine	Support vector machines.
com.imsl.test.example.datamining	Data mining examples.

Classes in com.imsl.datamining used by com.imsl.datamining

Class	Description
AssociationRule	Contains association rules discovered by the Apriori algorithm.
GradientBoosting	Performs stochastic gradient boosting for a single response variable and multiple predictor variables.
GradientBoosting.LossFunctionType	The loss function type as specified by the error measure.
Itemsets	Object containing a set of frequent items and the number of transactions examined to obtain the frequent item set.
KohonenSOM	A Kohonen self organizing map.
LogisticRegression	Performs binomial or multinomial logistic regression.
LogisticRegressionModelObject	Predicts a data set using a previously trained logistic regression model object.
PredictiveModel	Specifies a predictive model.
PredictiveModel.PredictiveModelException	An exception class intended to be the parent of all nested Exception classes where the enclosing class extends PredictiveModel.
PredictiveModel.StateChangeException	Exception thrown when an input parameter has changed that might affect the model estimates or predictions.
PredictiveModel.SumOfProbabilitiesNotOneException	Exception thrown when the sum of probabilities is not approximately one.
PredictiveModel.VariableType	Enumerates different variable types.
SequenceDatabase	Defines a sequence database for use with the PrefixSpan algorithm.

Classes in com.imsl.datamining used by com.imsl.datamining.decisionTree

Class	Description
PredictiveModel	Specifies a predictive model.
PredictiveModel.PredictiveModelException	An exception class intended to be the parent of all nested Exception classes where the enclosing class extends PredictiveModel.
PredictiveModel.StateChangeException	Exception thrown when an input parameter has changed that might affect the model estimates or predictions.
PredictiveModel.SumOfProbabilitiesNotOneException	Exception thrown when the sum of probabilities is not approximately one.
PredictiveModel.VariableType	Enumerates different variable types.

Classes in com.imsl.datamining used by com.imsl.datamining.supportvectormachine

Class	Description
PredictiveModel	Specifies a predictive model.
PredictiveModel.PredictiveModelException	An exception class intended to be the parent of all nested Exception classes where the enclosing class extends PredictiveModel.
PredictiveModel.SumOfProbabilitiesNotOneException	Exception thrown when the sum of probabilities is not approximately one.
PredictiveModel.VariableType	Enumerates different variable types.

Classes in com.imsl.datamining used by com.imsl.test.example.datamining

Class	Description
KohonenSOMTrainer	Trains a Kohonen network.