Package org.knime.base.node.preproc.sample

Node that samples rows from an input table.

See:
          Description

Class Summary
AbstractSamplingNodeModel NodeModel implementation to sample rows from an input table, thus, this node has one inport.
LinearSamplingRowFilter This row filter always includes at least the first and the last row.
RandomFractionRowFilter Row Filter class that extracts randomly a given fraction of rows.
RandomNumberRowFilter RowFilter implementation that fiters out rows according to a BitSet where each bit represents a row number.
Sampler Utility class that allows to create row filters for sampling.
SamplingNodeDialog Dialog for sampling node.
SamplingNodeDialogPanel Panel to be used in the dialog of the sampling node.
SamplingNodeFactory Node that samples rows from an input table.
SamplingNodeModel NodeModel implementation to sample rows from an input table, thus, this node has one in- and one outport.
SamplingNodeSettings This class holds the settings for the sampling and the partioning node.
StratifiedSamplingRowFilter This row filter retains the distribution of values in a certain column upon filtering out rows.
 

Enum Summary
SamplingNodeSettings.CountMethods Enum for the two methods for setting the number of rows in the output table.
SamplingNodeSettings.SamplingMethods Enum for the four different sampling methods.
 

Package org.knime.base.node.preproc.sample Description

Node that samples rows from an input table. The sampling is done either random or top rows first and the user needs also to specify whether the a given fractin (in [0,1]) or an absolute count of the input table's rows should survive.



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