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Machine Learning with Spark - Second Edition
book

Machine Learning with Spark - Second Edition

by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
April 2017
Intermediate to advanced
532 pages
12h 39m
English
Packt Publishing
Content preview from Machine Learning with Spark - Second Edition

SparkR DataFrames

DataFrame is a collection of data organized into names columns that are distributed. This concept is very similar to a relational database or a data frame of R but with much better optimizations. Source of these data frames could be a CSV, a TSV, Hive tables, local R data frames, and so on.

Spark distribution can be run using the ./bin/sparkR shell.

Following on from the preceding examples, we will now write an R version. We assume that you have R (R version 3.0.2 (2013-09-25)-Frisbee Sailing), R Studio and higher installed on your system (for example, most Linux and Mac OS X systems come with Python preinstalled).

The example program is included in the sample code for this chapter, in the directory named r-spark-app, which ...

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Publisher Resources

ISBN: 9781785889936