Interface | Description |
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Classifier |
Classifier interface.
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ConditionalDensityEstimator |
Interface for numeric prediction schemes that can output conditional
density estimates.
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IntervalEstimator |
Interface for numeric prediction schemes that can output prediction
intervals.
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IterativeClassifier |
Interface for classifiers that can induce models of growing complexity one
step at a time.
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Sourcable |
Interface for classifiers that can be converted to Java source.
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UpdateableBatchProcessor |
Updateable classifiers can implement this if they wish to be informed at the
end of the training stream.
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UpdateableClassifier |
Interface to incremental classification models that can learn using
one instance at a time.
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Class | Description |
---|---|
AbstractClassifier |
Abstract classifier.
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AggregateableEvaluation |
Subclass of Evaluation that provides a method for aggregating the results
stored in another Evaluation object.
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BVDecompose |
Class for performing a Bias-Variance decomposition on any classifier using the method specified in:
Ron Kohavi, David H. |
BVDecomposeSegCVSub |
This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).
The Kohavi and Wolpert definition of bias and variance is specified in (2). The Webb definition of bias and variance is specified in (3). Geoffrey I. |
CheckClassifier |
Class for examining the capabilities and finding problems with classifiers.
|
CheckSource |
A simple class for checking the source generated from Classifiers
implementing the
weka.classifiers.Sourcable interface. |
CostMatrix |
Class for storing and manipulating a misclassification cost matrix.
|
Evaluation |
Class for evaluating machine learning models.
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IteratedSingleClassifierEnhancer |
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from a single base learner.
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MultipleClassifiersCombiner |
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from multiple classifiers.
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ParallelIteratedSingleClassifierEnhancer |
Abstract utility class for handling settings common to meta classifiers that
build an ensemble in parallel from a single base learner.
|
ParallelMultipleClassifiersCombiner |
Abstract utility class for handling settings common to
meta classifiers that build an ensemble in parallel using multiple
classifiers.
|
RandomizableClassifier |
Abstract utility class for handling settings common to randomizable
classifiers.
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RandomizableIteratedSingleClassifierEnhancer |
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble from a single base learner.
|
RandomizableMultipleClassifiersCombiner |
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble from multiple classifiers based
on a given random number seed.
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RandomizableParallelIteratedSingleClassifierEnhancer |
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble in parallel from a single base
learner.
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RandomizableParallelMultipleClassifiersCombiner |
Abstract utility class for handling settings common to
meta classifiers that build an ensemble in parallel using multiple
classifiers based on a given random number seed.
|
RandomizableSingleClassifierEnhancer |
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble from a single base learner.
|
SingleClassifierEnhancer |
Abstract utility class for handling settings common to meta
classifiers that use a single base learner.
|