java.lang.Object
- com.bayesserver.optimization.GeneticOptionsBase

All Implemented Interfaces:

OptimizerOptions

Direct Known Subclasses:

GeneticOptimizerOptions, GeneticSimplificationOptions
```
public abstract class GeneticOptionsBase
extends Object
implements OptimizerOptions
```
Base class for common Genetic algorithm options.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Cancellation`	`getCancellation()`	Gets of sets the instance implementing `Cancellation`, used for cancellation.
`CausalEffectKind`	`getCausalEffectKind()`	Gets the kind of causal effect to optimize.
`double`	`getCrossoverProbability()`	The probability of parents being crossed.
`InferenceFactory`	`getInferenceFactory()`	Used to create one or more inference engines, used by the algorithm to determine the fitness of possible solutions.
`Integer`	`getMaximumConcurrency()`	Gets the maximum number of inference engines used during optimization.
`double`	`getMutationProbability()`	The probability of genes being mutated.
`int`	`getPopulationSize()`	Gets the number of chromosomes in each generation.
`OptimizerProgress`	`getProgress()`	Gets of sets the instance implementing `OptimizerProgress`, used for progress notifications.
`List<QueryDistribution>`	`getQueryDistributions()`	Determines which additional queries, if any, should be calculated by the inference engine when evaluating the fitness of a solution.
`List<QueryFunctionOutput>`	`getQueryFunctions()`	Determines which additional functions, if any, should be calculated by the inference engine when evaluating the fitness of a solution.
`Boolean`	`getQueryLogLikelihood()`	Determines whether the log-likelihood should be calculated by the inference engine when evaluating the fitness of a solution.
`Integer`	`getSeed()`	The seed for the random number generator used by the Genetic Algorithm.
`Stop`	`getStopping()`	Gets the instance implementing `Stop` used for early stopping.
`GeneticTerminationOptions`	`getTermination()`	Termination options.
`protected void`	`raisePropertyChanged(String name)`
`void`	`setCancellation(Cancellation value)`	Gets of sets the instance implementing `Cancellation`, used for cancellation.
`void`	`setCausalEffectKind(CausalEffectKind value)`	Sets the kind of causal effect to optimize.
`void`	`setCrossoverProbability(double value)`	The probability of parents being crossed.
`void`	`setInferenceFactory(InferenceFactory value)`	Used to create one or more inference engines, used by the algorithm to determine the fitness of possible solutions.
`void`	`setMaximumConcurrency(Integer value)`
`void`	`setMutationProbability(double value)`	The probability of genes being mutated.
`void`	`setPopulationSize(int value)`	Sets the number of chromosomes in each generation.
`void`	`setProgress(OptimizerProgress value)`	Gets of sets the instance implementing `OptimizerProgress`, used for progress notifications.
`void`	`setQueryLogLikelihood(Boolean value)`	Determines whether the log-likelihood should be calculated by the inference engine when evaluating the fitness of a solution.
`void`	`setSeed(Integer value)`	The seed for the random number generator used by the Genetic Algorithm.
`void`	`setStopping(Stop value)`	Sets the instance implementing `Stop` used for early stopping.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - getTermination
```
public GeneticTerminationOptions getTermination()
```
    Termination options.
  - getCrossoverProbability
```
public double getCrossoverProbability()
```
    The probability of parents being crossed. Must be in the range [0,1].
  - setCrossoverProbability
```
public void setCrossoverProbability(double value)
```
    The probability of parents being crossed. Must be in the range [0,1].
  - getMutationProbability
```
public double getMutationProbability()
```
    The probability of genes being mutated. Must be in the range [0,1].
  - setMutationProbability
```
public void setMutationProbability(double value)
```
    The probability of genes being mutated. Must be in the range [0,1].
  - raisePropertyChanged
```
protected void raisePropertyChanged(String name)
```
  - getQueryDistributions
```
public List<QueryDistribution> getQueryDistributions()
```
    Determines which additional queries, if any, should be calculated by the inference engine when evaluating the fitness of a solution. For example, additional queries maybe referenced by function nodes.
    
    Specified by:
    
    getQueryDistributions in interface OptimizerOptions
  - getMaximumConcurrency
```
public Integer getMaximumConcurrency()
```
    Gets the maximum number of inference engines used during optimization. During optimization, multiple inference engines may be used in parallel. However each inference engine has its own memory requirements for inference, and so this parameter allows the number to be limited, to avoid excessive memory consumption. The amount of memory used per inference engine, depends on the Network and also the evidence.
    
    Specified by:
    
    getMaximumConcurrency in interface OptimizerOptions
  - setMaximumConcurrency
```
public void setMaximumConcurrency(Integer value)
```
  - getCausalEffectKind
```
public CausalEffectKind getCausalEffectKind()
```
    Gets the kind of causal effect to optimize. e.g. Total/Direct. Not all algorithms support direct effect calculations.
    
    Specified by:
    
    getCausalEffectKind in interface OptimizerOptions
  - setCausalEffectKind
```
public void setCausalEffectKind(CausalEffectKind value)
```
    Sets the kind of causal effect to optimize. e.g. Total/Direct. Not all algorithms support direct effect calculations.
    
    Specified by:
    
    setCausalEffectKind in interface OptimizerOptions
  - getPopulationSize
```
public int getPopulationSize()
```
    Gets the number of chromosomes in each generation.
  - setPopulationSize
```
public void setPopulationSize(int value)
```
    Sets the number of chromosomes in each generation.
  - getSeed
```
public Integer getSeed()
```
    The seed for the random number generator used by the Genetic Algorithm.
  - setSeed
```
public void setSeed(Integer value)
```
    The seed for the random number generator used by the Genetic Algorithm.
  - getQueryFunctions
```
public List<QueryFunctionOutput> getQueryFunctions()
```
    Determines which additional functions, if any, should be calculated by the inference engine when evaluating the fitness of a solution. For example, functions that are referenced by a function node optimization target/objective.
    
    Specified by:
    
    getQueryFunctions in interface OptimizerOptions
  - getInferenceFactory
```
public InferenceFactory getInferenceFactory()
```
    Used to create one or more inference engines, used by the algorithm to determine the fitness of possible solutions.
    
    Specified by:
    
    getInferenceFactory in interface OptimizerOptions
  - setInferenceFactory
```
public void setInferenceFactory(InferenceFactory value)
```
    Used to create one or more inference engines, used by the algorithm to determine the fitness of possible solutions.
    
    Specified by:
    
    setInferenceFactory in interface OptimizerOptions
  - getCancellation
```
public Cancellation getCancellation()
```
    Gets of sets the instance implementing Cancellation, used for cancellation.
    
    Specified by:
    
    getCancellation in interface OptimizerOptions
    
    See Also:
    
    Cancellation
  - setCancellation
```
public void setCancellation(Cancellation value)
```
    Gets of sets the instance implementing Cancellation, used for cancellation.
    
    Specified by:
    
    setCancellation in interface OptimizerOptions
    
    See Also:
    
    Cancellation
  - getStopping
```
public Stop getStopping()
```
    Gets the instance implementing Stop used for early stopping. Stopping is different to cancellation, as stopping will still return an objective value from the optimization process, albeit having performed fewer iterations.
    
    Specified by:
    
    getStopping in interface OptimizerOptions
    
    Returns:
    
    The instance used for stopping.
  - setStopping
```
public void setStopping(Stop value)
```
    Sets the instance implementing Stop used for early stopping. Stopping is different to cancellation, as stopping will still return an objective value from the optimization process, albeit having performed fewer iterations.
    
    Specified by:
    
    setStopping in interface OptimizerOptions
    
    Parameters:
    
    value - The instance used for stopping.
  - getQueryLogLikelihood
```
public Boolean getQueryLogLikelihood()
```
    Determines whether the log-likelihood should be calculated by the inference engine when evaluating the fitness of a solution. For example, the log-likelihood maybe referenced by function nodes.
    
    Specified by:
    
    getQueryLogLikelihood in interface OptimizerOptions
  - setQueryLogLikelihood
```
public void setQueryLogLikelihood(Boolean value)
```
    Determines whether the log-likelihood should be calculated by the inference engine when evaluating the fitness of a solution. For example, the log-likelihood maybe referenced by function nodes.
    
    Specified by:
    
    setQueryLogLikelihood in interface OptimizerOptions
  - getProgress
```
public OptimizerProgress getProgress()
```
    Gets of sets the instance implementing OptimizerProgress, used for progress notifications.
    
    Specified by:
    
    getProgress in interface OptimizerOptions
    
    See Also:
    
    OptimizerProgress
  - setProgress
```
public void setProgress(OptimizerProgress value)
```
    Gets of sets the instance implementing OptimizerProgress, used for progress notifications.
    
    Specified by:
    
    setProgress in interface OptimizerOptions
    
    See Also:
    
    OptimizerProgress

Class GeneticOptionsBase

Method Summary

Methods inherited from class java.lang.Object

Method Detail

getTermination

getCrossoverProbability

setCrossoverProbability

getMutationProbability

setMutationProbability

raisePropertyChanged

getQueryDistributions

getMaximumConcurrency

setMaximumConcurrency

getCausalEffectKind

setCausalEffectKind

getPopulationSize

setPopulationSize

getSeed

setSeed

getQueryFunctions

getInferenceFactory

setInferenceFactory

getCancellation

setCancellation

getStopping

setStopping

getQueryLogLikelihood

setQueryLogLikelihood

getProgress

setProgress