Vivek Patil patilv
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patilv
/ nnet_plot_update.r
Created
April 7, 2014 18:13
Copy of https://gist.githubusercontent.com/fawda123/7471137/raw/c720af2cea5f312717f020a09946800d55b8f45b/nnet_plot_update.r with reshape2
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| plot.nnet<-function(mod.in,nid=T,all.out=T,all.in=T,bias=T,wts.only=F,rel.rsc=5,circle.cex=5, | |
| node.labs=T,var.labs=T,x.lab=NULL,y.lab=NULL,line.stag=NULL,struct=NULL,cex.val=1, | |
| alpha.val=1,circle.col='lightblue',pos.col='black',neg.col='grey',...){ | |
| require(scales) | |
| #sanity checks | |
| if('mlp' %in% class(mod.in)) warning('Bias layer not applicable for rsnns object') | |
| if('numeric' %in% class(mod.in)){ | |
| if(is.null(struct)) stop('Three-element vector required for struct') |
patilv
/ gar_fun.r
Created
April 7, 2014 18:07
A copy of https://gist.githubusercontent.com/fawda123/6206737/raw/2e1bc9cbc48d1a56d2a79dd1d33f414213f5f1b1/gar_fun.r with reshape2
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| gar.fun<-function(out.var,mod.in,bar.plot=T,x.names=NULL,...){ | |
| #gets weights for neural network, output is list | |
| #if rescaled argument is true, weights are returned but rescaled based on abs value | |
| nnet.vals<-function(mod.in,nid,rel.rsc,struct.out=struct){ | |
| require(scales) | |
| require(reshape2) | |
| if('numeric' %in% class(mod.in)){ |
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