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Autotuning LIME explanations with few predictions

Tuning algorithms, especially when machine learning is involved is often a tricky business. In this post we present an optimization based technique to automatically tune LIME in order to obtain more stable explanations. LIME (aka Local Interpretable Model agnostic explanations) is one of the most commonly used algorithms for generating explanations for AI based models.Read more →

DMN editor – Contributors Guide – Part 1

If you’re reading this, probably you’ve already thought about contributing to an open-source project. However, projects generally have some learning curve, which may intimidate valuable contributors. We do not want that feeling for the DMN editor! So, this is the first of a series of posts that will quickly empower you to contribute to theRead more →

Kogito 1.7.0 released!

We are glad to announce that the Kogito 1.7.0 release is now available! This goes hand in hand with Kogito Tooling 0.10.0 and Kogito Images, Operator, and CLI 1.7.0 release. From a feature point of view, we included a series of new features and bug fixes, including: Process SVG addon now works directly with theRead more →

Kogito Task Management API

In a previous post we discussed the task process API, which dealt with tasks from a process perspective. As explained in there, the task model depends on data defined by users. But, regardless of the task related information provided by users through BPMN processes, every existing task in Kogito has some predefined fields, mainly relatedRead more →

New DMN Boxed Expressions Editor

While working with the DMN editor, you may have noticed that a big amount of modeling logic lives on the expressions, boxed in a few kinds of DMN nodes.  The Boxed Expressions are crucial for modeling decision logic. On that side, there is an ongoing effort from the engineering team to improve the user experienceRead more →

Getting started with TrustyAI in only 15 minutes

Hi Kogito folks, In the previous blogposts we demonstrated how to deploy a Kogito service together with the TrustyAI infrastructure on an OpenShift cluster https://blog.kie.org/2020/12/how-to-integrate-your-kogito-application-with-trustyai-part-1.html.If you are new to TrustyAI, we suggest you read this introduction: https://blog.kie.org/2020/06/trusty-ai-introduction.html In this blogpost, we’d like to demonstrate how to get started with TrustyAI in ~15 minutes. In orderRead more →