How to use
getThreshold
method
in
weka.attributeSelection.GreedyStepwise

Best Java code snippets using weka.attributeSelection.GreedyStepwise.getThreshold (Showing top 2 results out of 315)

options.add("" + getThreshold());

options.add("" + getThreshold());

Returns the threshold so that the AttributeSelection module can discard attributes from the ranking.

<init>
Constructor
search
Searches the attribute subset space by forward selection.
setGenerateRanking
Records whether the user has requested a ranked list of attributes.
setSearchBackwards
Set whether to search backwards instead of forwards
attributeList
converts a BitSet into a list of attribute indexes
determineNumToSelectFromThreshold
getConservativeForwardSelection
Gets whether conservative selection has been enabled
getDebuggingOutput
Get whether to output debugging info to the console
getGenerateRanking
Gets whether ranking has been requested. This is used by the AttributeSelection module to determine
getNumExecutionSlots
Gets the number of threads.
getNumToSelect
Gets the number of attributes to be retained.
getSearchBackwards
Get whether to search backwards

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