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New Extension: Interpretations - SHAP, LIME and Shapely

mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,852  RM Data Scientist
edited February 2 in Knowledge Base
Dear Community,

I am happy to announce that @pschlunder and I published a new extension to the marketplace: Interpretations!

So far RapidMiner users had the option to use Explain Predictions as their method to understand WHY a model predicted the way it did. The Explain Predictions operator uses an algorithm by @IngoRM which is focused around best speed, understand-ability and application on a range of use cases as well as data types.

The new operator adds the known algorithms of LIME, Shapely and SHAP to the mix. The operator Generate Interpretations has a very similar interface to the familiar Explain Predictions. In fact it also embeds Explain Predictions so that you can switch between different algorithms and get different β€˜opinions’ on your predictions.

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Please be aware that this is a first alpha release of the extension. We are continuously working on improving it. We appreciate every feedback!

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Thanks!
Philipp & Martin



- Head of Data Science Services at RapidMiner -
Dortmund, Germany
David_AlionelderkrikorTelcontar120BalazsBaranyjacobcybulskiNeuralMarketPavithra_Rao

Comments

  • NeuralMarketNeuralMarket Member Posts: 13 Contributor II
    Very cool!
    mschmitz
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,852  RM Data Scientist
    Small update on the extension:
    Changes in 0.1.1
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    * Added an icon
    * Fixed an error that there was no proper UserError if types of training and testing were different
    * Fixed an error that real and integers were considered of different types.

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
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