KNIME Machine Learning Interpretability Extension version 4.3.0.v202011191524 by KNIME AG, Zurich, Switzerland
Calculates the SHAP values by evaluating the predictions your model made in the loop body. For each explained row of interest (rows in the first input table of the SHAP Loop Start node, we will refer to these as ROI), the output table of this node contains d rows where d is the number of predictions your model produces (e.g. one for each class probability in a classification task). The rows consist of four special columns followed by a column for each of your features that hold the SHAP value of that feature for the current prediction column. The special columns are:
To use this node in KNIME, install KNIME Machine Learning Interpretability Extension from the following update site:
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.
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.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.