Uses of Interface
adams.data.weka.columnfinder.ColumnFinder

Packages that use ColumnFinder
adams.data.weka.columnfinder   
weka.filters.unsupervised.attribute   
 

Uses of ColumnFinder in adams.data.weka.columnfinder
 

Subinterfaces of ColumnFinder in adams.data.weka.columnfinder
 interface TrainableColumnFinder
          Interface for ColumnFinder algorithms that can be trained.
 

Classes in adams.data.weka.columnfinder that implement ColumnFinder
 class AbstractColumnFinder
          Ancestor for classes that find columns of interest in datasets.
 class AbstractColumnFinderWithCapabilities
          Ancestor for classes that find columns of interest in datasets.
 class AbstractFilteredColumnFinder
          Ancestor for column finders that pre-filter the columns.
 class AbstractTrainableColumnFinder
          Ancestor for ColumnFinder algorithms that can be trained.
 class ByName
          Returns indices of attributes which names match the regular expression.
 class Invert
          Inverts the selected columns of the provided sub-column-filter.
 class MultiColumnFinder
          Applies multiple column finding algorithms to the data.
The indices can be either joined or intersected.
 class NullFinder
          Dummy finder, does not find any columns.
 class RowFilteredColumnFinder
          This column finder first filters the rows before finding any columns on the subset of rows.
 

Fields in adams.data.weka.columnfinder declared as ColumnFinder
protected  ColumnFinder AbstractFilteredColumnFinder.m_ColumnFinder
          the ColumnFinder to apply.
protected  ColumnFinder[] MultiColumnFinder.m_Finders
          the column finders to use.
 

Methods in adams.data.weka.columnfinder that return ColumnFinder
static ColumnFinder AbstractColumnFinder.forCommandLine(String cmdline)
          Instantiates the column finder from the given commandline (i.e., classname and optional options).
static ColumnFinder AbstractColumnFinder.forName(String classname, String[] options)
          Instantiates the column finder with the given options.
 ColumnFinder AbstractFilteredColumnFinder.getColumnFinder()
          Returns the column finder in use.
 ColumnFinder[] MultiColumnFinder.getFinders()
          Returns the column finders in use.
 ColumnFinder AbstractColumnFinder.shallowCopy()
          Returns a shallow copy of itself, i.e., based on the commandline options.
 ColumnFinder AbstractColumnFinder.shallowCopy(boolean expand)
          Returns a shallow copy of itself, i.e., based on the commandline options.
 

Methods in adams.data.weka.columnfinder with parameters of type ColumnFinder
 void AbstractFilteredColumnFinder.setColumnFinder(ColumnFinder value)
          Sets the column finder to use.
 void MultiColumnFinder.setFinders(ColumnFinder[] value)
          Sets the column finders to use.
 

Uses of ColumnFinder in weka.filters.unsupervised.attribute
 

Fields in weka.filters.unsupervised.attribute declared as ColumnFinder
protected  ColumnFinder AbstractColumnFinderApplier.m_ColumnFinder
          The classifier template used to do the classification.
 

Methods in weka.filters.unsupervised.attribute that return ColumnFinder
 ColumnFinder AbstractColumnFinderApplier.getColumnFinder()
          Returns the column finder used by the filter.
 

Methods in weka.filters.unsupervised.attribute with parameters of type ColumnFinder
 void AbstractColumnFinderApplier.setColumnFinder(ColumnFinder value)
          Sets the column finder to use.
 



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