Uses of Interface
adams.data.weka.rowfinder.RowFinder
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Packages that use RowFinder Package Description adams.data.weka.columnfinder adams.data.weka.datasetsplitter adams.data.weka.rowfinder weka.filters.unsupervised.attribute weka.filters.unsupervised.instance -
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Uses of RowFinder in adams.data.weka.columnfinder
Fields in adams.data.weka.columnfinder declared as RowFinder Modifier and Type Field Description protected RowFinder
RowFilteredColumnFinder. m_RowFinder
the RowFinder to use first.Methods in adams.data.weka.columnfinder that return RowFinder Modifier and Type Method Description RowFinder
RowFilteredColumnFinder. getRowFinder()
Returns the row finder in use.Methods in adams.data.weka.columnfinder with parameters of type RowFinder Modifier and Type Method Description void
RowFilteredColumnFinder. setRowFinder(RowFinder value)
Sets the row finder to use. -
Uses of RowFinder in adams.data.weka.datasetsplitter
Fields in adams.data.weka.datasetsplitter declared as RowFinder Modifier and Type Field Description protected RowFinder
RowSplitter. m_RowFinder
The selector for splitting rows between the two datasets.Methods in adams.data.weka.datasetsplitter that return RowFinder Modifier and Type Method Description RowFinder
RowSplitter. getRowFinder()
Gets the row-finder to use to select rows for the first dataset.Methods in adams.data.weka.datasetsplitter with parameters of type RowFinder Modifier and Type Method Description void
RowSplitter. setRowFinder(RowFinder value)
Sets the row-finder to use to select rows for the first dataset. -
Uses of RowFinder in adams.data.weka.rowfinder
Subinterfaces of RowFinder in adams.data.weka.rowfinder Modifier and Type Interface Description interface
TrainableRowFinder
Interface forRowFinder
algorithms that can be trained.Classes in adams.data.weka.rowfinder that implement RowFinder Modifier and Type Class Description class
AbstractFilteredRowFinder
Ancestor for row finders that pre-filter the rows.class
AbstractRowFinder
Ancestor for classes that find rows of interest in datasets.class
AbstractRowFinderWithCapabilities
Ancestor for classes that find rows of interest in datasets.class
AbstractTrainableRowFinder
Ancestor forRowFinder
algorithms that can be trained.class
AllFinder
Dummy finder, finds all rows.class
ByLabel
Returns the indices of rows which attributes labels match the provided regular expression.class
ByNumericRange
Returns indices of rows which numeric value match the min/max.class
ByNumericValue
Returns indices of rows which numeric value match the min/max.class
Constant
Row finder that finds a constant set of rows.class
FilteredIQR
Returns indices of rows that got identified as outliers/extreme values.class
Invert
Inverts the selected rows of the provided sub-row-filter.class
MultiRowFinder
Applies multiple row finding algorithms to the data.
The indices can be either joined or intersected.class
NullFinder
Dummy finder, does not find any rows.Fields in adams.data.weka.rowfinder declared as RowFinder Modifier and Type Field Description protected RowFinder[]
MultiRowFinder. m_Finders
the row finders to use.protected RowFinder
AbstractFilteredRowFinder. m_RowFinder
the RowFinder to apply.Methods in adams.data.weka.rowfinder that return RowFinder Modifier and Type Method Description static RowFinder
AbstractRowFinder. forCommandLine(String cmdline)
Instantiates the row finder from the given commandline (i.e., classname and optional options).static RowFinder
AbstractRowFinder. forName(String classname, String[] options)
Instantiates the row finder with the given options.RowFinder[]
MultiRowFinder. getFinders()
Returns the row finders in use.RowFinder
AbstractFilteredRowFinder. getRowFinder()
Returns the row finder in use.RowFinder
AbstractRowFinder. shallowCopy()
Returns a shallow copy of itself, i.e., based on the commandline options.RowFinder
AbstractRowFinder. shallowCopy(boolean expand)
Returns a shallow copy of itself, i.e., based on the commandline options.Methods in adams.data.weka.rowfinder with parameters of type RowFinder Modifier and Type Method Description void
MultiRowFinder. setFinders(RowFinder[] value)
Sets the row finders to use.void
AbstractFilteredRowFinder. setRowFinder(RowFinder value)
Sets the row finder to use. -
Uses of RowFinder in weka.filters.unsupervised.attribute
Fields in weka.filters.unsupervised.attribute declared as RowFinder Modifier and Type Field Description protected RowFinder
AttributeSummaryTransferFilter. m_RowFinder
The row-finder which separates training data from actual data.Methods in weka.filters.unsupervised.attribute that return RowFinder Modifier and Type Method Description RowFinder
AttributeSummaryTransferFilter. getDefaultRowFinder()
Gets the default training data row selector.RowFinder
AttributeSummaryTransferFilter. getRowFinder()
Gets the training data row selector.Methods in weka.filters.unsupervised.attribute with parameters of type RowFinder Modifier and Type Method Description void
AttributeSummaryTransferFilter. setRowFinder(RowFinder value)
Sets the training data row selector. -
Uses of RowFinder in weka.filters.unsupervised.instance
Fields in weka.filters.unsupervised.instance declared as RowFinder Modifier and Type Field Description protected RowFinder
AbstractRowFinderApplier. m_RowFinder
The classifier template used to do the classification.protected RowFinder
AccumulatedLWLWeights. m_RowFinder
the row finder to use if enabled.Methods in weka.filters.unsupervised.instance that return RowFinder Modifier and Type Method Description RowFinder
AbstractRowFinderApplier. getRowFinder()
Returns the row finder used by the filter.RowFinder
AccumulatedLWLWeights. getRowFinder()
Returns the row finder scheme.Methods in weka.filters.unsupervised.instance with parameters of type RowFinder Modifier and Type Method Description void
AbstractRowFinderApplier. setRowFinder(RowFinder value)
Sets the row finder to use.void
AccumulatedLWLWeights. setRowFinder(RowFinder value)
Sets the row finder scheme.
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