April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Gradient-Boosted Trees
Gradient-Boosted Trees are ensembles of decision trees. Gradient-Boosted Trees iteratively train decision trees to minimize loss function. Gradient-Boosted Trees handle categorical features, support multiclass classification, and don't require feature scaling.
Spark ML implements Gradient-Boosted Trees using the existing decision tree implementation. It supports both classification and regression.
Let's train the StumbleUpon dataset by splitting it into 80% training and 20% testing, use Gradient-Boosted Trees from Spark to build the model, and get evaluation metrics around the test data as follows:
// split data randomly into training and testing dataset val Array(training, test) = dataFrame.randomSplit(Array(0.8, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.