Soumya Banerjee neelsoumya
neelsoumya
/ neuralnetR.R
Created
May 16, 2022 05:46
— forked from mick001/neuralnetR.R
A neural network exaple in R. Full article at: http://datascienceplus.com/fitting-neural-network-in-r/
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| # Set a seed | |
| set.seed(500) | |
| library(MASS) | |
| data <- Boston | |
| # Check that no data is missing | |
| apply(data,2,function(x) sum(is.na(x))) | |
| # Train-test random splitting for linear model |
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| gar.fun<-function(out.var,mod.in,bar.plot=T,struct=NULL,x.lab=NULL, | |
| y.lab=NULL, wts.only = F){ | |
| require(ggplot2) | |
| require(plyr) | |
| # function works with neural networks from neuralnet, nnet, and RSNNS package | |
| # manual input vector of weights also okay | |
| #sanity checks |
neelsoumya
/ testing.R
Last active
August 5, 2020 07:28
An example to show a testing framework in R using the testthat package
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| An example to show a testing framework in R using the testthat package |