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 and 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.
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.decisionTree

Class and 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 and 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 and Description
KohonenSOMTrainer Trains a Kohonen network.