Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Bayesian Models with R

You're reading from   Learning Bayesian Models with R Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

Arrow left icon
Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781783987603
Length 168 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Hari Manassery Koduvely Hari Manassery Koduvely
Author Profile Icon Hari Manassery Koduvely
Hari Manassery Koduvely
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Introducing the Probability Theory FREE CHAPTER 2. The R Environment 3. Introducing Bayesian Inference 4. Machine Learning Using Bayesian Inference 5. Bayesian Regression Models 6. Bayesian Classification Models 7. Bayesian Models for Unsupervised Learning 8. Bayesian Neural Networks 9. Bayesian Modeling at Big Data Scale Index

RHadoop for using Hadoop from R


RHadoop is a collection of open source packages using which an R user can manage and analyze data stored in the Hadoop Distributed File System (HDFS). In the background, RHadoop will translate these as MapReduce operations in Java and run them on HDFS.

The various packages in RHadoop and their uses are as follows:

  • rhdfs: Using this package, a user can connect to an HDFS from R and perform basic actions such as read, write, and modify files.

  • rhbase: This is the package to connect to a HBASE database from R and to read, write, and modify tables.

  • plyrmr: Using this package, an R user can do the common data manipulation tasks such as the slicing and dicing of datasets. This is similar to the function of packages such as plyr or reshape2.

  • rmr2: Using this package, a user can write MapReduce functions in R and execute them in an HDFS.

Unlike the other packages discussed in this book, the packages associated with RHadoop are not available from CRAN. They can be downloaded...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime