0 ×

KNFST Novelty Scorer

KNIME Active Learning Plug-in version 4.2.3.v202011021201 by KNIME AG, Zurich, Switzerland

Scores the novelty of test instances based on a KNFST-model from a KNFST Learner node. The corresponding source code is a Java adaption of the Matlab code provided by Bodesheim et al. for their paper "Kernel Null Space Methods for Novelty Detection".

Options

Append Novelty Scores
Check to append Novelty Scores
Normalize Novelty Score
Check to normalize Novelty Scores by dividing them by the minimum distance between target points.
Append Nullspace Coordinates
Check this to append the coordinates in the nullspace. This can be used to visualize the nullspace.

Input Ports

Icon
KNFST model
Icon
Test Data

Output Ports

Icon
Novelty Scores

Installation

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

KNIME 4.2

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

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform. Browse NodePit from within KNIME, install nodes with just one click and share your workflows with NodePit Space.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.