public class FilteredAssociator extends SingleAssociatorEnhancer implements AssociationRulesProducer
-F <filter specification> Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2" (default: weka.filters.MultiFilter with weka.filters.unsupervised.attribute.ReplaceMissingValues)
-c <the class index> The class index. (default: -1, i.e. unset)
-W Full name of base associator. (default: weka.associations.Apriori)
Options specific to associator weka.associations.Apriori:
-N <required number of rules output> The required number of rules. (default = 10)
-T <0=confidence | 1=lift | 2=leverage | 3=Conviction> The metric type by which to rank rules. (default = confidence)
-C <minimum metric score of a rule> The minimum confidence of a rule. (default = 0.9)
-D <delta for minimum support> The delta by which the minimum support is decreased in each iteration. (default = 0.05)
-U <upper bound for minimum support> Upper bound for minimum support. (default = 1.0)
-M <lower bound for minimum support> The lower bound for the minimum support. (default = 0.1)
-S <significance level> If used, rules are tested for significance at the given level. Slower. (default = no significance testing)
-I If set the itemsets found are also output. (default = no)
-R Remove columns that contain all missing values (default = no)
-V Report progress iteratively. (default = no)
-A If set class association rules are mined. (default = no)
-c <the class index> The class index. (default = last)
Constructor and Description |
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FilteredAssociator()
Default constructor.
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Modifier and Type | Method and Description |
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void |
buildAssociations(Instances data)
Build the associator on the filtered data.
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boolean |
canProduceRules()
Returns true if this AssociationRulesProducer can actually produce rules.
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java.lang.String |
classIndexTipText()
Returns the tip text for this property
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java.lang.String |
filterTipText()
Returns the tip text for this property
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AssociationRules |
getAssociationRules()
Gets the list of mined association rules.
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Capabilities |
getCapabilities()
Returns default capabilities of the associator.
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int |
getClassIndex()
Gets the class index
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Filter |
getFilter()
Gets the filter used.
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java.lang.String[] |
getOptions()
Gets the current settings of the Associator.
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java.lang.String |
getRevision()
Returns the revision string.
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java.lang.String[] |
getRuleMetricNames()
Gets a list of the names of the metrics output for each rule.
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java.lang.String |
globalInfo()
Returns a string describing this Associator
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java.util.Enumeration<Option> |
listOptions()
Returns an enumeration describing the available options.
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static void |
main(java.lang.String[] args)
Main method for running this class.
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void |
setClassIndex(int value)
Sets the class index
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void |
setFilter(Filter value)
Sets the filter
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void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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java.lang.String |
toString()
Output a representation of this associator
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associatorTipText, getAssociator, setAssociator
doNotCheckCapabilitiesTipText, forName, getDoNotCheckCapabilities, makeCopies, makeCopy, postExecution, preExecution, run, runAssociator, setDoNotCheckCapabilities
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
makeCopy
public java.lang.String globalInfo()
public java.util.Enumeration<Option> listOptions()
listOptions
in interface OptionHandler
listOptions
in class SingleAssociatorEnhancer
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-F <filter specification> Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2" (default: weka.filters.MultiFilter with weka.filters.unsupervised.attribute.ReplaceMissingValues)
-c <the class index> The class index. (default: -1, i.e. unset)
-W Full name of base associator. (default: weka.associations.Apriori)
Options specific to associator weka.associations.Apriori:
-N <required number of rules output> The required number of rules. (default = 10)
-T <0=confidence | 1=lift | 2=leverage | 3=Conviction> The metric type by which to rank rules. (default = confidence)
-C <minimum metric score of a rule> The minimum confidence of a rule. (default = 0.9)
-D <delta for minimum support> The delta by which the minimum support is decreased in each iteration. (default = 0.05)
-U <upper bound for minimum support> Upper bound for minimum support. (default = 1.0)
-M <lower bound for minimum support> The lower bound for the minimum support. (default = 0.1)
-S <significance level> If used, rules are tested for significance at the given level. Slower. (default = no significance testing)
-I If set the itemsets found are also output. (default = no)
-R Remove columns that contain all missing values (default = no)
-V Report progress iteratively. (default = no)
-A If set class association rules are mined. (default = no)
-c <the class index> The class index. (default = last)
setOptions
in interface OptionHandler
setOptions
in class SingleAssociatorEnhancer
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class SingleAssociatorEnhancer
public java.lang.String filterTipText()
public void setFilter(Filter value)
value
- the filter with all options set.public Filter getFilter()
public java.lang.String classIndexTipText()
public void setClassIndex(int value)
value
- the class indexpublic int getClassIndex()
public Capabilities getCapabilities()
getCapabilities
in interface Associator
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class SingleAssociatorEnhancer
Capabilities
public void buildAssociations(Instances data) throws java.lang.Exception
buildAssociations
in interface Associator
data
- the training datajava.lang.Exception
- if the Associator could not be built successfullypublic AssociationRules getAssociationRules()
getAssociationRules
in interface AssociationRulesProducer
public java.lang.String[] getRuleMetricNames()
getRuleMetricNames
in interface AssociationRulesProducer
public boolean canProduceRules()
canProduceRules
in interface AssociationRulesProducer
public java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class AbstractAssociator
public static void main(java.lang.String[] args)
args
- commandline arguments, use "-h" for full list