| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| CostMatrix
Class for storing and manipulating a misclassification cost matrix.
|
| Evaluation
Class for evaluating machine learning models.
|
| IteratedSingleClassifierEnhancer
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from a single base learner.
|
| MultipleClassifiersCombiner
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from multiple classifiers.
|
| 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.
|
| SingleClassifierEnhancer
Abstract utility class for handling settings common to meta
classifiers that use a single base learner.
|
| Sourcable
Interface for classifiers that can be converted to Java source.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| UpdateableClassifier
Interface to incremental classification models that can learn using
one instance at a time.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| CostMatrix
Class for storing and manipulating a misclassification cost matrix.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| ConditionalDensityEstimator
Interface for numeric prediction schemes that can output conditional
density estimates.
|
| IntervalEstimator
Interface for numeric prediction schemes that can output prediction
intervals.
|
| RandomizableClassifier
Abstract utility class for handling settings common to randomizable
classifiers.
|
| UpdateableClassifier
Interface to incremental classification models that can learn using
one instance at a time.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| SingleClassifierEnhancer
Abstract utility class for handling settings common to meta
classifiers that use a single base learner.
|
| UpdateableClassifier
Interface to incremental classification models that can learn using
one instance at a time.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| ConditionalDensityEstimator
Interface for numeric prediction schemes that can output conditional
density estimates.
|
| CostMatrix
Class for storing and manipulating a misclassification cost matrix.
|
| IntervalEstimator
Interface for numeric prediction schemes that can output prediction
intervals.
|
| IteratedSingleClassifierEnhancer
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from a single base learner.
|
| MultipleClassifiersCombiner
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from multiple classifiers.
|
| 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.
|
| 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.
|
| RandomizableParallelIteratedSingleClassifierEnhancer
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble in parallel from a single base
learner.
|
| 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.
|
| 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 and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| SingleClassifierEnhancer
Abstract utility class for handling settings common to meta
classifiers that use a single base learner.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| Sourcable
Interface for classifiers that can be converted to Java source.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| Sourcable
Interface for classifiers that can be converted to Java source.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| AbstractClassifier
Abstract classifier.
|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Class and Description |
|---|
| Classifier
Classifier interface.
|
| Evaluation
Class for evaluating machine learning models.
|
Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.