|
||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
Interface Summary | |
---|---|
BasisFunctionLearnerTable.MissingValueReplacementFunction | General missing values replacement interface. |
BasisFunctionPortObject.Creator | Creator used to instantiate basisfunction predictor rows. |
DegreeOfAffinity |
Class Summary | |
---|---|
BasisFunctionAntisymmetricRowOverlap | |
BasisFunctionFactory | Factory class for BasisFunctionLearnerRow which automatically
creates new basis functions of a certain type. |
BasisFunctionFilterRow | Inner class to separate an data input row into a new row which are the first n-1 double cells and returns the class label. |
BasisFunctionIterator | Iterator over all
BasisFunctionLearnerRow s within the
model. |
BasisFunctionLearnerNodeDialogPane | Abstract dialog pane used showing a column filter panel for class column selected and a panel for general learner options. |
BasisFunctionLearnerNodeDialogPanel | Panel is used inside the basisfunction dialogs for general settings, such as distance function, shrink after commit, distance measure, missing value handling, and maximum number of epochs. |
BasisFunctionLearnerNodeModel | Abstract basisfunction model holding the trained rule table. |
BasisFunctionLearnerNodeView<T extends BasisFunctionLearnerNodeModel> | View to display basisfunction rule models. |
BasisFunctionLearnerRow | General BasisFunctionLearnerRow prototype which provides
functions to shrink, cover, and reset rules; and to be compared with others
by its coverage. |
BasisFunctionLearnerTable | This class implements the DDA-algorithm published by Berthold&Huber which iteratively introduces new basisfunctions and/or shrinks already existing ones of conflicting classes during the training algorithm. |
BasisFunctionModelContent | |
BasisFunctionPortObject | |
BasisFunctionPredictorCellFactory | This predictor cell factory predicts the passed rows using the underlying basisfunction model. |
BasisFunctionPredictorNodeDialog | A dialog to apply data to basis functions. |
BasisFunctionPredictorNodeModel | The basis function predictor model performing a prediction on the data from the first input and the radial basisfunction model from the second. |
BasisFunctionPredictorRow | Class presents a predictor row for basisfunctions providing method to apply unknown data (compose). |
BasisFunctionPredictorRowIterator | Class wraps a row iterator in order to exents the given
DataRow elements by on cell (resp. |
BasisFunctionRowInclusion | |
BasisFunctionSymmetricRowOverlap | Class computes a overlapping value between two basis functions. |
BestGuessMissingValueReplacementFunction | "Best Guess" replacement which searches for the best value in the model or just takes the mean if not available. |
Distance | Computes the Euclidean distance between two vectors. |
IncorpMissingValueReplacementFunction | Makes use the missing value by using it inside the model. |
MaximumMissingValueReplacementFunction | Maximum replacement. |
MeanMissingValueReplacementFunction | Mean replacement. |
MinimumMissingValueReplacementFunction | Minimum replacement. |
OneMissingValueReplacementFunction | One replacement. |
ZeroMissingValueReplacementFunction | Zero replacement. |
Contains abstract and util classes to train and perform prediction to rule models, also called BasisFunction models.
|
||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |