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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: |
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