| Interface | Description |
|---|---|
| Scoreable |
Interface for allowing to score a classifier
|
| Class | Description |
|---|---|
| GeneticSearch |
This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
|
| HillClimber |
This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
|
| K2 |
This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.
For more information see: G.F. |
| LAGDHillClimber |
This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.
|
| LocalScoreSearchAlgorithm |
The ScoreBasedSearchAlgorithm class supports Bayes net structure search algorithms that are based on maximizing scores (as opposed to for example conditional independence based search algorithms).
|
| RepeatedHillClimber |
This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
|
| SimulatedAnnealing |
This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.
For more information see: R.R. |
| TabuSearch |
This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
|
| TAN |
This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.
For more information see: N. |