org.knime.base.node.preproc.sample

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

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.

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.

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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University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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