Sets the seed for random number generation.
- Version:
- $Revision: 1.14 $
- Author:
- Mark Hall (mhall@cs.waikato.ac.nz)
- See Also:
- Serialized Form
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
GeneticSearch
public GeneticSearch()
- Constructor. Make a new GeneticSearch object
listOptions
public java.util.Enumeration listOptions()
- Returns an enumeration describing the available options.
- Specified by:
listOptions in interface OptionHandler
- Returns:
- an enumeration of all the available options.
setOptions
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
- Parses a given list of options.
Valid options are:
-Z
Sets the size of the population. (default = 20).
-G
Sets the number of generations to perform.
(default = 5).
-C
Sets the probability that crossover will occur.
(default = .6).
-M
Sets the probability that a feature will be toggled on/off.
-R
Sets how frequently reports will be generated. Eg, setting the value
to 5 will generate a report every 5th generation.
(default = number of generations).
-S
Sets the seed for random number generation.
- Specified by:
setOptions in interface OptionHandler
- Parameters:
options - the list of options as an array of strings
- Throws:
java.lang.Exception - if an option is not supported
getOptions
public java.lang.String[] getOptions()
- Gets the current settings of ReliefFAttributeEval.
- Specified by:
getOptions in interface OptionHandler
- Returns:
- an array of strings suitable for passing to setOptions()
startSetTipText
public java.lang.String startSetTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setStartSet
public void setStartSet(java.lang.String startSet)
throws java.lang.Exception
- Sets a starting set of attributes for the search. It is the
search method's responsibility to report this start set (if any)
in its toString() method.
- Specified by:
setStartSet in interface StartSetHandler
- Parameters:
startSet - a string containing a list of attributes (and or ranges),
eg. 1,2,6,10-15.
- Throws:
java.lang.Exception - if start set can't be set.
getStartSet
public java.lang.String getStartSet()
- Returns a list of attributes (and or attribute ranges) as a String
- Specified by:
getStartSet in interface StartSetHandler
- Returns:
- a list of attributes (and or attribute ranges)
seedTipText
public java.lang.String seedTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setSeed
public void setSeed(int s)
- set the seed for random number generation
- Parameters:
s - seed value
getSeed
public int getSeed()
- get the value of the random number generator's seed
- Returns:
- the seed for random number generation
reportFrequencyTipText
public java.lang.String reportFrequencyTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setReportFrequency
public void setReportFrequency(int f)
- set how often reports are generated
- Parameters:
f - generate reports every f generations
getReportFrequency
public int getReportFrequency()
- get how often repports are generated
- Returns:
- how often reports are generated
mutationProbTipText
public java.lang.String mutationProbTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setMutationProb
public void setMutationProb(double m)
- set the probability of mutation
- Parameters:
m - the probability for mutation occuring
getMutationProb
public double getMutationProb()
- get the probability of mutation
- Returns:
- the probability of mutation occuring
crossoverProbTipText
public java.lang.String crossoverProbTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setCrossoverProb
public void setCrossoverProb(double c)
- set the probability of crossover
- Parameters:
c - the probability that two population members will exchange
genetic material
getCrossoverProb
public double getCrossoverProb()
- get the probability of crossover
- Returns:
- the probability of crossover
maxGenerationsTipText
public java.lang.String maxGenerationsTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setMaxGenerations
public void setMaxGenerations(int m)
- set the number of generations to evaluate
- Parameters:
m - the number of generations
getMaxGenerations
public int getMaxGenerations()
- get the number of generations
- Returns:
- the maximum number of generations
populationSizeTipText
public java.lang.String populationSizeTipText()
- Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
setPopulationSize
public void setPopulationSize(int p)
- set the population size
- Parameters:
p - the size of the population
getPopulationSize
public int getPopulationSize()
- get the size of the population
- Returns:
- the population size
globalInfo
public java.lang.String globalInfo()
- Returns a string describing this search method
- Returns:
- a description of the search suitable for
displaying in the explorer/experimenter gui
toString
public java.lang.String toString()
- returns a description of the search
- Returns:
- a description of the search as a String
search
public int[] search(ASEvaluation ASEval,
Instances data)
throws java.lang.Exception
- Searches the attribute subset space using a genetic algorithm.
- Specified by:
search in class ASSearch
- Parameters:
data - the training instances.ASEval - the attribute evaluator to guide the search
- Returns:
- an array (not necessarily ordered) of selected attribute indexes
- Throws:
java.lang.Exception - if the search can't be completed
weka.attributeSelection.ASSearch