Package | Description |
---|---|
weka.classifiers | |
weka.classifiers.meta | |
weka.classifiers.rules | |
weka.classifiers.trees |
Modifier and Type | Method and Description |
---|---|
static String |
Evaluation.wekaStaticWrapper(Sourcable classifier,
String className)
Wraps a static classifier in enough source to test using the weka
class libraries.
|
Modifier and Type | Class and Description |
---|---|
class |
AdaBoostM1
Class for boosting a nominal class classifier using the Adaboost M1 method.
|
class |
LogitBoost
Class for performing additive logistic regression.
|
Modifier and Type | Class and Description |
---|---|
class |
OneR
Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes.
|
class |
ZeroR
Class for building and using a 0-R classifier.
|
Modifier and Type | Class and Description |
---|---|
class |
DecisionStump
Class for building and using a decision stump.
|
class |
J48
Class for generating a pruned or unpruned C4.5 decision tree.
|
class |
REPTree
Fast decision tree learner.
|
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