Skip to Content
Python Machine Learning By Example - Second Edition
book

Python Machine Learning By Example - Second Edition

by Yuxi (Hayden) Liu
February 2019
Beginner to intermediate
382 pages
10h 1m
English
Packt Publishing
Content preview from Python Machine Learning By Example - Second Edition

Stacking

Stacking takes the output values of machine learning estimators and then uses those as input values for another algorithm. You can, of course, feed the output of the higher-level algorithm to another predictor. It's possible to use any arbitrary topology but, for practical reasons, you should try a simple setup first as also dictated by Occam's razor.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Machine Learning by Example - Third Edition

Python Machine Learning by Example - Third Edition

Yuxi (Hayden) Liu
Python Machine Learning, Second Edition - Second Edition

Python Machine Learning, Second Edition - Second Edition

Sebastian Raschka, Jared Huffman, Vahid Mirjalili, Ryan Sun

Publisher Resources

ISBN: 9781789616729Supplemental Content