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java.lang.Objectweka.associations.Associator
weka.associations.SingleAssociatorEnhancer
weka.associations.FilteredAssociator
public class FilteredAssociator
Class for running an arbitrary associator on data that has been passed through an arbitrary filter. Like the associator, the structure of the filter is based exclusively on the training data and test instances will be processed by the filter without changing their structure.
Valid options are:-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., last)
-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 Summary | |
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FilteredAssociator()
Default constructor. |
Method Summary | |
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void |
buildAssociations(Instances data)
Build the associator on the filtered data. |
java.lang.String |
classIndexTipText()
Returns the tip text for this property |
java.lang.String |
filterTipText()
Returns the tip text for this property |
Capabilities |
getCapabilities()
Returns default capabilities of the associator. |
int |
getClassIndex()
Gets the class index |
Filter |
getFilter()
Gets the filter used. |
java.lang.String[] |
getOptions()
Gets the current settings of the Associator. |
java.lang.String |
globalInfo()
Returns a string describing this Associator |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
static void |
main(java.lang.String[] args)
Main method for running this class. |
void |
setClassIndex(int value)
Sets the class index |
void |
setFilter(Filter value)
Sets the filter |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
java.lang.String |
toString()
Output a representation of this associator |
Methods inherited from class weka.associations.SingleAssociatorEnhancer |
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associatorTipText, getAssociator, setAssociator |
Methods inherited from class weka.associations.Associator |
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forName, makeCopies, makeCopy |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public FilteredAssociator()
Method Detail |
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public java.lang.String globalInfo()
public java.util.Enumeration 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., last)
-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 strings
java.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 CapabilitiesHandler
getCapabilities
in class SingleAssociatorEnhancer
Capabilities
public void buildAssociations(Instances data) throws java.lang.Exception
buildAssociations
in class Associator
data
- the training data
java.lang.Exception
- if the Associator could not be built successfullypublic java.lang.String toString()
toString
in class java.lang.Object
public static void main(java.lang.String[] args)
args
- commandline arguments, use "-h" for full list
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