Kogito Runtimes is a cloud-native business automation technology for building cloud-ready business applications

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

Apache KIE Examples repository with showcases on how to use Kogito, Drools, and jBPM

Kogito Apps houses source code for addons and supporting services for Kogito Runtimes

JPMML-SparkML plugin for converting LightGBM-Spark models to PMML

Generic Model Serving Implementation leveraging Flink

Compile your ML Models/ONNX Decision Trees (XGBoost, LightGBM, SciKit-Learn) straight to JVM Bytecode

Lightning fast web service for machine learning model scoring

Convert rule set described in a simple file to a valid PMML file.

Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON

Sample integration of ODM with JPMML

A toy Phishing Classification Service using PMML for demo purposes

WarpScript™ PMML Extension

Siddhi extension to evaluate Predictive Model Markup Language (PMML).

date difference operation as a PMML preprocessing operation

A restful demo site for document classification on supervised learning data hosted on AWS ECS Fargate