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ComponentComponent

SHAP Summarizer

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This Component can be used before the bottom input port of SHAP Loop Start. This technique will use k-means to summarize the validation set and create a sampling table to use when creating coalitions. The created sampling table is large n rows, each row is a different prototype of the data. This n can be adjusted from the configuration dialogue of the Component. The n default value is 100. The output sampling table has, for each of the n clusters created by k-means, a prototype row and a column "SHAP Summarizer Sampling weight" that can be used by the SHAP Loop Start node. This Component can summarize data of the following domains: Number (integer), Number (double) and String. DISCLAIMER : the Component statistical sampling is not always guaranteed when you provide String columns in the input table. Current computer science research is still looking for a more solid solution than training k-means via one-hot encoding-decoding of categorical columns.

Component details

Input ports
  1. Type: Table
    Validation Data
    Data to be summarized containing all the features SHAP Loop Start needs. Supported domains: Numeric (double), Numeric (integer), String.
Output ports
  1. Type: Table
    Summarized Sampling Table
    A table with a prototype for each cluster with all the features with average value of the belonging cluster. Additionaly a column called "SHAP Summarizer Sampling weight" that can be used by SHAP Loop Start as sampling weight.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.3
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.3

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.3

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Legal

By using or downloading the component, you agree to our terms and conditions.

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