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| Packages that use ColumnFinder | |
|---|---|
| adams.data.weka.columnfinder | |
| weka.filters.unsupervised.attribute | |
| Uses of ColumnFinder in adams.data.weka.columnfinder |
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| Subinterfaces of ColumnFinder in adams.data.weka.columnfinder | |
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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 |
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| 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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