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 train the neural network with nnet:
- First, install and load the nnet package:
> install.packages("nnet")
> library(nnet)
- Next, split the dataset into training and testing datasets:
> data(iris)
> set.seed(2)
> ind = sample(2, nrow(iris), replace = TRUE, prob=c(0.7, 0.3))
> trainset = iris[ind == 1,]
> testset = iris[ind == 2,]
- Then, train the neural network with nnet:
> iris.nn = nnet(Species ~ ., data = trainset, size = 2, rang = 0.1, decay = 5e-4, maxit = 200)
Output: # weights: 19 initial value 165.086674 iter 10 value 70.447976 iter 20 value 69.667465 iter 30 value 69.505739 iter 40 value 21.588943 iter 50 value 8.691760 iter 60 value 8.521214 iter 70 value 8.138961 iter 80 value ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.