Package | Description |
---|---|
weka.classifiers.bayes | |
weka.classifiers.functions | |
weka.classifiers.lazy | |
weka.classifiers.meta |
Modifier and Type | Class and Description |
---|---|
class |
NaiveBayesMultinomialText
Multinomial naive bayes for text data.
|
class |
NaiveBayesMultinomialUpdateable
Class for building and using a multinomial Naive Bayes classifier.
|
class |
NaiveBayesUpdateable
Class for a Naive Bayes classifier using estimator classes.
|
Modifier and Type | Class and Description |
---|---|
class |
SGD
Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression and linear regression).
|
class |
SGDText
Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.
|
Modifier and Type | Class and Description |
---|---|
class |
IBk
K-nearest neighbours classifier.
|
class |
KStar
K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function.
|
class |
LWL
Locally weighted learning.
|
Modifier and Type | Class and Description |
---|---|
class |
MultiClassClassifierUpdateable
A metaclassifier for handling multi-class datasets with 2-class classifiers.
|
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