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Density Updater

KNIME Active Learning Plug-in version 4.3.0.v202011190949 by KNIME AG, Zurich, Switzerland

Updates a density model. Note that the model can only be updated with the data it was initialized with in the corresponding initializer node ( Potential Density Initializer or Graph Density Initializer ). The update is performed by reducing the densities in the neighborhoods of all newly labeled data points according to the used density estimation algorithm.

Options

Unknown Row Handling
Depending on this setting, the node either ignores unknown rows (i.e. rows that were not used for the model creation) or fails if it encounters one.

Input Ports

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Density scorer model created with either the Potential Density Initializer or the Graph Density Initializer node.
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Table containing rows in whose neighborhoods the density in the model needs to be reduced. In an active learning setting these would be the rows that were freshly labeled by the user.

Output Ports

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The updated model i.e. decreased densities in the neighborhood of rows in the input table.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Active Learning from the following update site:

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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