| Package | Description |
|---|---|
| weka.classifiers.bayes | |
| weka.classifiers.bayes.net.estimate | |
| weka.classifiers.meta | |
| weka.estimators |
| Class and Description |
|---|
| Estimator
Abstract class for all estimators.
|
| Class and Description |
|---|
| Estimator
Abstract class for all estimators.
|
| Class and Description |
|---|
| UnivariateDensityEstimator
Interface that can be implemented by simple weighted univariate
density estimators.
|
| Class and Description |
|---|
| CheckEstimator.PostProcessor
a class for postprocessing the test-data
|
| ConditionalEstimator
Interface for conditional probability estimators.
|
| DiscreteEstimator
Simple symbolic probability estimator based on symbol counts.
|
| Estimator
Abstract class for all estimators.
|
| IncrementalEstimator
Interface for an incremental probability estimators.
|
| KernelEstimator
Simple kernel density estimator.
|
| MultivariateEstimator
Interface to Multivariate Distribution Estimation
|
| MultivariateGaussianEstimator
Implementation of Multivariate Distribution Estimation using Normal
Distribution.
|
| NormalEstimator
Simple probability estimator that places a single normal distribution over
the observed values.
|
| UnivariateDensityEstimator
Interface that can be implemented by simple weighted univariate
density estimators.
|
| UnivariateIntervalEstimator
Interface that can be implemented by simple weighted univariate
interval estimators.
|
| UnivariateMixtureEstimator.MM
Fast univariate mixture model implementation.
|
| UnivariateQuantileEstimator
Interface that can be implemented by simple weighted univariate
quantile estimators.
|
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