Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines

© Heli Helskyaho, Jean Yu, Kai Yu 2021

H. Helskyaho et al.Machine Learning for Oracle Database Professionalshttps://doi.org/10.1007/978-1-4842-7032-5_10

10. Building Reproducible ML Pipelines Using Oracle Machine Learning

Heli Helskyaho¹  , Jean Yu² and Kai Yu²

(1)

Helsinki, Finland

(2)

Austin, TX, USA

 

As explained in the previous chapter, Oracle Machine Learning (OML) provides built-in data security and tuned ML algorithms to deliver scalable, parallel, and distributed executions for model training and model scoring. With OML4R and OML4Py, open source components can be integrated into the OML platform to enable additional custom capabilities in the ML pipeline.

This chapter uses an actual supervised machine learning model as an example. It demonstrates ...