| Package | Description |
|---|---|
| weka.classifiers.meta | |
| weka.classifiers.meta.nestedDichotomies | |
| weka.classifiers.trees |
| Class and Description |
|---|
| AdaBoostM1
Class for boosting a nominal class classifier using the Adaboost M1 method.
|
| GridSearch.Grid
for generating the parameter pairs in a grid
|
| GridSearch.Performance
A helper class for storing the performance of a values-pair.
|
| GridSearch.PerformanceCache
Represents a simple cache for performance objects.
|
| GridSearch.PointDouble
a serializable version of Point2D.Double
|
| GridSearch.PointInt
a serializable version of Point
|
| RacedIncrementalLogitBoost.Committee
Class representing a committee of LogitBoosted models
|
| Stacking
Combines several classifiers using the stacking method.
|
| Vote
Class for combining classifiers.
|
| Class and Description |
|---|
| FilteredClassifier
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
|
| Class and Description |
|---|
| Bagging
Class for bagging a classifier to reduce variance.
|
Copyright © 2015 University of Waikato, Hamilton, NZ. All rights reserved.