July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Installing XGBoost
As we have already mentioned, XGBoost is written in C++, and there is a Java library that allows using XGBoost in Java via JNI. Unfortunately, at the time of writing, XGBoost4J is not available on Maven Central, which means that it needs to be built locally and then published to the local Maven repository. There are plans to release the library to the central repository, and you can see the progress at https://github.com/dmlc/xgboost/issues/1807.
Even when it is released to Maven Central, it is still useful to know how to build it to get the bleeding edge version with the latest changes and bugfixes. So, let's see how to build the XGBoost library itself and then how to build the Java wrapper for it. For that, you can follow ...
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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.