Package weka.classifiers

Interface Summary
ActiveFeatureAcquirer Interface to permit a classifier to perform active feature aquisition.
ActiveLearner Interface to permit a classifier to perform selective sampling.
IterativeClassifier Interface for classifiers that can induce models of growing complexity one step at a time.
SemiSupClassifier Interface to a classifier that can exploit unlabeled data.
SoftClassifier Interface to a classifier that supports soft classified training data that are SoftClassifiedInstances that have probabilistic class labels
Sourcable Interface for classifiers that can be converted to Java source.
UpdateableClassifier Interface to incremental classification models that can learn using one instance at a time.
 

Class Summary
BVDecompose Class for performing a Bias-Variance decomposition on any classifier using the method specified in:
CheckClassifier Class for examining the capabilities and finding problems with classifiers.
Classifier Abstract classifier.
CostMatrix Class for storing and manipulating a misclassification cost matrix.
DistributionClassifier Abstract classification model that produces (for each test instance) an estimate of the membership in each class (ie.
EnsembleClassifier Abstract class for Ensemble Classifiers
EnsembleEvaluation Class for evaluating machine learning models.
Evaluation Class for evaluating machine learning models.
RegressionBVDecompose Class for performing a Bias-Variance decomposition on any regressor based on the method specified in: