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Quasirandom Sequence Generator (Apache)

KNIME Data Generation version 3.6.0.v201805030958 by KNIME AG, Zurich, Switzerland

When generating multiple numerical columns each of them will fill its one dimensional space. However if you want to cover a high dimensional space it is important that there are no uncovered areas. This can be achieved by quasirandom sequences. All dimension will be in the interval from 0 to 1. By increasing the number of data points (with a bigger input table) the "grid" of points in space gets finer. There are currently two methods provided: the Halton sequence generator and the Sobol sequence generator. Please note that the Halton generator only support up to 40 dimensions and the Sobol up to 1000.

The generation is performed with the Data Generators as provided by Apache Commons Math.

Options

Select data generator:
Select the data generator for the generation process.
Name of columns
The new columns will be named accordingly + a counter
Number of Dimensions
The number of dimensions to generate. For each dimension one double column will be generated.

Input Ports

Data

Output Ports

Multiple new columns from the given distribution.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Update Site

To use this node in KNIME, install KNIME Data Generation from the following update site:

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