SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams
Nedeljko Radulovic, Dihia Boulegane, Albert Bifet · The Journal of Open Source Software · 2020
SCALAR is a new platform for running real-time machine learning competitions on data streams.Following the intent of Kaggle, which serves as a platform for organizing machine learning competitions adapted for batch learning, we propose SCALAR as a novel platform explicitly designed for stream learning in real-time.SCALAR supports both classification and regression problems in the data streaming setting.It has been developed in Python, using state of the art open-source solutions: Apache Kafka, Apache Spark, gRPC, Protobuf, and Docker.