Using Graph Kernels for Feature Generation - RapidMiner LOD extension

Created: 2015-05-04 18:11:04 Last updated: 2015-05-04 18:12:39

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This example shows how to use graph kernels for feature generation.

In this example we use the Root RDF Walk Count Kernel, and the Fast RDF WL Sub Tree Kernel.

The input data for the process can be found here.

More information about the process can be found here.

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RapidMiner

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Petar Ristoski

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Using Graph Kernels for Feature Generation - RapidMiner LOD extension

Created by Petar Ristoski on Monday 04 May 2015 18:11:04 (UTC)

Last edited by Petar Ristoski on Monday 04 May 2015 18:12:39 (UTC)

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Simona Colucci

I tried to run this workflow, but I received an error message saying the setup has no obvious error, but the project seems not to work.

The log reports the following error: SEVERE: java.lang.ArrayIndexOutOfBoundsException: 0.

I did not find any manual for the RDF kernel operators, so I cannot fix this error. Any solution to suggest?

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