NodeModel implementation to sample rows from an input table, thus, this node has one inport.
This row filter always includes at least the first and the last row.
Row Filter class that extracts randomly a given fraction of rows.
RowFilter implementation that fiters out rows according to a
Utility class that allows to create row filters for sampling.
Dialog for sampling node.
Panel to be used in the dialog of the sampling node.
Node that samples rows from an input table.
NodeModel implementation to sample rows from an input table, thus, this node has one in- and one outport.
This class holds the settings for the sampling and the partioning node.
This row filter retains the distribution of values in a certain column upon filtering out rows.
Enum for the two methods for setting the number of rows in the output table.
Enum for the four different sampling methods.
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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