pmml

Kogito Runtimes has moved to https://github.com/apache/incubator-kie-drools. This repository is archived. 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

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints

Go Scoring API for PMML

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

Python PMML scoring library

A library to parse and convert PMML models into Scikit-learn estimators.

Kogito Apps has moved to https://github.com/apache/incubator-kie-drools. This repository is archived. Kogito Apps houses source code for addons and supporting services for Kogito Runtimes

Ruby Scoring API for PMML

Code and presentation for Strata Model Serving tutorial

PMML scoring library for Scala

AI模型序列化总结

An umbrella project for multiple implementations of model serving

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

Apache KIE documentation repository for Kogito

cPMML is C++ library for scoring machine learning models serialized with the Predictive Model Markup Language (PMML)

Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+

PMML scoring library for Spark as SparkML Transformer