A Genetic Algorithm with Trusty PMML

Recently, I’ve stumbled upon this interesting article and paired project about a Genetic Algorithm. Then, I’ve asked myself if somehow the features of Trusty PMML could be meaningfully used inside…

How to integrate your Kogito application with TrustyAI – Part 3

…named trustyui-service, select the Resource Type TrustyUI and add the environment variable KOGITO_TRUSTY_ENDPOINT with the URL of the Trusty Service you’ve just copied. Deployment of the Explainability Service On the…

TrustyAI meets Kogito: decision monitoring

In this article, we introduce the metrics monitoring add-on for Kogito. This add-on is part of the TrustyAI initiative already introduced in the previous article https://blog.kie.org/2020/06/trusty-ai-introduction.html . Like Quarkus extensions,…

How to integrate your Kogito application with TrustyAI – Part 1

…Kogito application and how to deploy the TrustyAI infrastructure on an OpenShift cluster.If you are new to TrustyAI, we suggest you read this introduction: https://blog.kie.org/2020/06/trusty-ai-introduction.html With the additional capabilities of…

TrustyAI meets Kogito: the decision tracing addon

…for the TrustyAI initiative (introduced here and here). One of the key goals of TrustyAI is to enable advanced auditing capabilities, which, as written in the second introductory post, “enables…

Predictions in Kogito: PMML endpoints with OpenAPI

…capabilities of the service without access to source code, documentation, or through network traffic inspection. Beginning in January 2020 a new initiative, PMML-Trusty, has started to provide a fast, reliable…

Finding counterfactuals with OptaPlanner

…”workPhone”: true, “ownCar”: true}’ With the result being: { “APPROVED”: 1, “probability(0)”: 0.44784518470933066, “probability(1)”: 0.5521548152906692} As expected, the application would have been successful. All the code is available at https://github.com/kiegroup/trusty-ai-sandbox/tree/master/counterfactual-op….