Machine-learning-pipelines Libraries

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

or: Alternatively, you could clone and run setup.py file: Initialize a group of classifiers as base estimators Initialize, fit, predict, and evaluate with Stacking See a sample output of classifier_s…

This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learn…