Package | Description |
---|---|
weka.classifiers.bayes | |
weka.classifiers.bayes.net | |
weka.classifiers.meta | |
weka.classifiers.trees | |
weka.classifiers.trees.j48 | |
weka.clusterers |
Modifier and Type | Class and Description |
---|---|
class |
BayesNet
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. |
Modifier and Type | Class and Description |
---|---|
class |
BayesNetGenerator
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. |
class |
BIFReader
Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format.
For more details on XML BIF see: Fabio Cozman, Marek Druzdzel, Daniel Garcia (1998). |
class |
EditableBayesNet
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. |
Modifier and Type | Class and Description |
---|---|
class |
AttributeSelectedClassifier
Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
|
class |
CostSensitiveClassifier
A metaclassifier that makes its base classifier cost-sensitive.
|
class |
CVParameterSelection
Class for performing parameter selection by cross-validation for any classifier.
For more information, see: R. |
class |
FilteredClassifier
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
|
class |
ThresholdSelector
A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier.
|
Modifier and Type | Class and Description |
---|---|
class |
ADTree
Class for generating an alternating decision tree.
|
class |
FT
Classifier for building 'Functional trees', which are classification trees that could have logistic regression functions at the inner nodes and/or leaves.
|
class |
J48
Class for generating a pruned or unpruned C4.5 decision tree.
|
class |
J48graft
Class for generating a grafted (pruned or unpruned) C4.5 decision tree.
|
class |
LADTree
Class for generating a multi-class alternating decision tree using the LogitBoost strategy.
|
class |
LMT
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
|
class |
M5P
M5Base.
|
class |
NBTree
Class for generating a decision tree with naive Bayes classifiers at the leaves.
For more information, see Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. |
class |
RandomTree
Class for constructing a tree that considers K
randomly chosen attributes at each node.
|
class |
REPTree
Fast decision tree learner.
|
class |
UserClassifier
Interactively classify through visual means.
|
Modifier and Type | Class and Description |
---|---|
class |
C45PruneableClassifierTree
Class for handling a tree structure that can
be pruned using C4.5 procedures.
|
class |
C45PruneableClassifierTreeG
Class for handling a tree structure that can
be pruned using C4.5 procedures and have nodes grafted on.
|
class |
ClassifierTree
Class for handling a tree structure used for
classification.
|
class |
NBTreeClassifierTree
Class for handling a naive bayes tree structure used for
classification.
|
class |
PruneableClassifierTree
Class for handling a tree structure that can
be pruned using a pruning set.
|
Modifier and Type | Class and Description |
---|---|
class |
Cobweb
Class implementing the Cobweb and Classit clustering algorithms.
Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers. |
class |
HierarchicalClusterer
Hierarchical clustering class.
|
Copyright © 2019 University of Waikato, Hamilton, NZ. All rights reserved.