Class | Description |
---|---|
Apriori |
Performs the Apriori algorithm for association rule discovery.
|
AssociationRule |
Association rule of the form .
|
BootstrapAggregation |
Performs bootstrap aggregation to generate predictions using predictive
models.
|
CrossValidation |
Performs V-Fold cross-validation for predictive models.
|
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.
|
KohonenSOMTrainer |
Trains a Kohonen network.
|
NaiveBayesClassifier |
Trains a Naive Bayes Classifier
|
PredictiveModel |
Predictive model class.
|
PredictiveModel.VariableType |
An enumeration of data types/characteristics.
|
Exception | Description |
---|---|
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.
|
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Built October 13 2015.