Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

A. TestasDistributed Machine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-9751-3_18

18. Deploying Models in Production with Scikit-Learn and PySpark

Abdelaziz Testas¹  

(1)

Fremont, CA, USA

 

In this final chapter of the book, we explore the practical aspects of deploying machine learning models using Scikit-Learn and PySpark. Model deployment is the process of making a machine learning model available for use in a production environment where it can make predictions or perform tasks based on real-world data. It involves taking a trained machine learning model and integrating it into a system or application so that it can provide predictions to end ...