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#Weka.classifiers.bayes Classes and Interfaces - 28 results found.
| Name | Description | Type | Package | Framework |
| ADNode | The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in | Class | weka.classifiers.bayes.net | Weka |
| BayesNet | Bayes Network learning using various search algorithms and quality measures. | Class | weka.classifiers.bayes | Weka |
| BayesNetEstimator | BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has | Class | weka.classifiers.bayes.net.estimate | Weka |
| BayesNetGenerator | Bayes Network learning using various search algorithms and quality measures. | Class | weka.classifiers.bayes.net | Weka |
| BIFReader | Builds a description of a Bayes Net classifier stored in XML BIF 0. | Class | weka.classifiers.bayes.net | Weka |
| BMAEstimator | BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA). | Class | weka.classifiers.bayes.net.estimate | Weka |
| CISearchAlgorithm | The CISearchAlgorithm class supports Bayes net structure search algorithms that are based on conditional independence test (as opposed to for example score based of cross validation based search algorithms). | Class | weka.classifiers.bayes.net.search.ci | Weka |
| DiscreteEstimatorBayes | Symbolic probability estimator based on symbol counts and a prior. | Class | weka.classifiers.bayes.net.estimate | Weka |
| DiscreteEstimatorFullBayes | Symbolic probability estimator based on symbol counts and a prior. | Class | weka.classifiers.bayes.net.estimate | Weka |
| EditableBayesNet | Bayes Network learning using various search algorithms and quality measures. | Class | weka.classifiers.bayes.net | Weka |
| MultiNomialBMAEstimator | Multinomial BMA Estimator. | Class | weka.classifiers.bayes.net.estimate | Weka |
| NaiveBayes | Class for a Naive Bayes classifier using estimator classes. | Class | weka.classifiers.bayes | Weka |
| NaiveBayes | The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables. | Class | weka.classifiers.bayes.net.search.fixed | Weka |
| NaiveBayesMultinomialText | Multinomial naive bayes for text data. | Class | weka.classifiers.bayes | Weka |
| NaiveBayesUpdateable | Class for a Naive Bayes classifier using estimator classes. | Class | weka.classifiers.bayes | Weka |
| ParentSet | Helper class for Bayes Network classifiers. | Class | weka.classifiers.bayes.net | Weka |
| RepeatedHillClimber | This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and | Class | weka.classifiers.bayes.net.search.global | Weka |
| RepeatedHillClimber | This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and | Class | weka.classifiers.bayes.net.search.local | Weka |
| Scoreable | Interface for allowing to score a classifierVersion:$Revision: 8034 $Author:Remco Bouckaert (rrb@xm. | Interface | weka.classifiers.bayes.net.search.local | Weka |
| SearchAlgorithm | This is the base class for all search algorithms for learning Bayes networks. | Class | weka.classifiers.bayes.net.search | Weka |
| SimpleEstimator | SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been | Class | weka.classifiers.bayes.net.estimate | Weka |
| SimulatedAnnealing | This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring | Class | weka.classifiers.bayes.net.search.global | Weka |
| SimulatedAnnealing | This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring | Class | weka.classifiers.bayes.net.search.local | Weka |
| TabuSearch | This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure. | Class | weka.classifiers.bayes.net.search.global | Weka |
| TabuSearch | This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure. | Class | weka.classifiers.bayes.net.search.local | Weka |
| TAN | This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented | Class | weka.classifiers.bayes.net.search.global | Weka |
| TAN | This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented | Class | weka.classifiers.bayes.net.search.local | Weka |
| VaryNode | Part of ADTree implementation. | Class | weka.classifiers.bayes.net | Weka |