October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to test and debug an R MapReduce program:
- First, you can configure the backend as local in rmr.options:
> rmr.options(backend = 'local')
- Again, you can execute the number squared MapReduce program mentioned in the previous recipe:
> b.time = proc.time()
> small.ints= to.dfs(1:100000)
> result = mapreduce(input = small.ints, map = function(k,v) cbind(v,v^2))
> proc.time() - b.time
- In addition to this, if you want to print the structure information of any variable in the MapReduce program, you can use the rmr.str function:
> out = mapreduce(to.dfs(1), map = function(k, v) rmr.str(v)) Dotted pair list of 14 $ : language mapreduce(to.dfs(1), map = function(k, v) rmr.str(v)) $ : language ...
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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.
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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.