Class BayesNetSimulation
java.lang.Object
edu.cmu.tetrad.algcomparison.simulation.BayesNetSimulation
- All Implemented Interfaces:
Simulation,HasParameters,TetradSerializable,Serializable
Bayes net simulation.
- Version:
- $Id: $Id
- Author:
- josephramsey
- See Also:
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Constructor Summary
ConstructorsConstructorDescriptionBayesNetSimulation(RandomGraph graph) Constructs a new BayesNetSimulation.Constructs a new BayesNetSimulation.Constructs a new BayesNetSimulation. -
Method Summary
Modifier and TypeMethodDescriptionvoidcreateData(Parameters parameters, boolean newModel) Creates a data set and simulates data.Returns the list of Bayes IMs.getDataModel(int index) Returns the number of data sets to simulate.Returns the data type of the data.Returns the description of the simulation.intReturns the number of data models.Returns the list of parameters used in the simulation.Class<? extends RandomGraph>Retrieves the class of a random graph for the simulation.Returns the short name of the simulation.Class<? extends Simulation>Returns the class of the simulation.getTrueGraph(int index) Returns the true graph at the given index.
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Constructor Details
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BayesNetSimulation
Constructs a new BayesNetSimulation.- Parameters:
graph- The graph.
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BayesNetSimulation
Constructs a new BayesNetSimulation.- Parameters:
pm- The Bayes PM.
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BayesNetSimulation
Constructs a new BayesNetSimulation.- Parameters:
im- The Bayes IM.
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Method Details
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createData
Creates a data set and simulates data.Creates the data.
- Specified by:
createDatain interfaceSimulation- Parameters:
parameters- The parameters to use in the simulation.newModel- If true, a new model is created. If false, the model is reused.
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getDataModel
Returns the number of data sets to simulate.Returns the simulated data set.
- Specified by:
getDataModelin interfaceSimulation- Parameters:
index- The index of the desired simulated data set.- Returns:
- That data set.
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getTrueGraph
Returns the true graph at the given index.Returns the true graph.
- Specified by:
getTrueGraphin interfaceSimulation- Parameters:
index- The index of the desired true graph.- Returns:
- That graph.
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getDescription
Returns the description of the simulation.Returns the description.
- Specified by:
getDescriptionin interfaceSimulation- Returns:
- Returns a one-line description of the simulation, to be printed at the beginning of the report.
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getShortName
Returns the short name of the simulation.Returns the short name.
- Specified by:
getShortNamein interfaceSimulation- Returns:
- The short name of the simulation.
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getParameters
Returns the list of parameters used in the simulation.Returns the parameters.
- Specified by:
getParametersin interfaceHasParameters- Specified by:
getParametersin interfaceSimulation- Returns:
- Returns the parameters used in the simulation. These are the parameters whose values can be varied.
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getRandomGraphClass
Description copied from interface:SimulationRetrieves the class of a random graph for the simulation.- Specified by:
getRandomGraphClassin interfaceSimulation- Returns:
- The class of a random graph for the simulation.
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getSimulationClass
Description copied from interface:SimulationReturns the class of the simulation. This method is used to retrieve the class of a simulation based on the selected simulations in the model.- Specified by:
getSimulationClassin interfaceSimulation- Returns:
- The class of the simulation.
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getNumDataModels
public int getNumDataModels()Returns the number of data models.Returns the number of data sets.
- Specified by:
getNumDataModelsin interfaceSimulation- Returns:
- The number of data sets to simulate.
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getDataType
Returns the data type of the data.Returns the data type.
- Specified by:
getDataTypein interfaceSimulation- Returns:
- Returns the type of the data, continuous, discrete or mixed.
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getBayesIms
Returns the list of Bayes IMs.- Returns:
- Ibid.
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