| Modifier and Type | Method and Description |
|---|---|
SearchAlgorithm |
BayesNet.getSearchAlgorithm()
Get the SearchAlgorithm used as the search algorithm
|
| Modifier and Type | Method and Description |
|---|---|
void |
BayesNet.setSearchAlgorithm(SearchAlgorithm newSearchAlgorithm)
Set the SearchAlgorithm used in searching for network structures.
|
| Modifier and Type | Class and Description |
|---|---|
class |
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 |
ICSSearchAlgorithm
This Bayes Network learning algorithm uses
conditional independence tests to find a skeleton, finds V-nodes and applies
a set of rules to find the directions of the remaining arrows.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FromFile
The FromFile reads the structure of a Bayes net
from a file in BIFF format.
|
class |
NaiveBayes
The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.
|
| Modifier and Type | Class and Description |
|---|---|
class |
GeneticSearch
This Bayes Network learning algorithm uses genetic
search for finding a well scoring Bayes network structure.
|
class |
GlobalScoreSearchAlgorithm
This Bayes Network learning algorithm uses cross
validation to estimate classification accuracy.
|
class |
HillClimber
This Bayes Network learning algorithm uses a hill
climbing algorithm adding, deleting and reversing arcs.
|
class |
K2
This Bayes Network learning algorithm uses a hill
climbing algorithm restricted by an order on the variables.
For more information see: G.F. |
class |
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.
|
class |
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. |
class |
TabuSearch
This Bayes Network learning algorithm uses tabu
search for finding a well scoring Bayes network structure.
|
class |
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. |
| Modifier and Type | Class and Description |
|---|---|
class |
LAGDHillClimber
This Bayes Network learning algorithm uses a Look
Ahead Hill Climbing algorithm called LAGD Hill Climbing.
|
class |
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).
|
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