R Under development (unstable) (2018-03-13 r74399) -- "Unsuffered Consequences"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> pkgname <- "RcppShark"
> source(file.path(R.home("share"), "R", "examples-header.R"))
> options(warn = 1)
> library('RcppShark')
RcppShark v3.1.1 loaded.
> 
> base::assign(".oldSearch", base::search(), pos = 'CheckExEnv')
> base::assign(".old_wd", base::getwd(), pos = 'CheckExEnv')
> cleanEx()
> nameEx("DeepNetworkTrain")
> ### * DeepNetworkTrain
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: DeepNetworkTrain
> ### Title: Training a simple deep network.
> ### Aliases: DeepNetworkTrain
> 
> ### ** Examples
> 
> 	x = as.matrix(iris[,1:4])
> 	y = as.vector(as.numeric(iris[,5]))
> 	y = replace(y, y == 2, 0)
> 	y = replace(y, y == 3, 0)
> 	model = DeepNetworkTrain (x, y, nHidden1 = 32, nHidden2 = 32)
/data/gannet/ripley/R/test-clang/BH/include/boost/container/detail/copy_move_algo.hpp:580:16: runtime error: null pointer passed as argument 1, which is declared to never be null
/usr/include/string.h:63:62: note: nonnull attribute specified here
SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /data/gannet/ripley/R/test-clang/BH/include/boost/container/detail/copy_move_algo.hpp:580:16 in 
> 	results = DeepNetworkPredict (x, model)
> 	networkPrediction = apply (results$prediction, 1, which.max) - 1
> 	errors = sum(abs(y - networkPrediction))/length(y)
> 	cat("Network produced ", errors, "errors.\n")
Network produced  0 errors.
> 
> 
> 
> cleanEx()
> nameEx("SharkBSGDPredict")
> ### * SharkBSGDPredict
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: SharkBSGDPredict
> ### Title: Budgeted SGD Predict.
> ### Aliases: SharkBSGDPredict
> 
> ### ** Examples
> 
> 	x = as.matrix(iris[,1:4])
> 	y = as.vector(as.numeric(iris[,5]))
> 	y = replace(y, y == 2, 0)
> 	y = replace(y, y == 3, 0)
> 	model = SharkBSGDTrain (x, y, C = 0.0001, 
+ 	      budget = 5, gamma = 1, epochs = 1, strategy = "Merge")
> 	results = SharkBSGDPredict (x, model)
> 	cat ("BSGD training error is ", sum(abs(y - results$predictions))/length(y), "\n")
BSGD training error is  0 
> 
> 
> 
> ### * <FOOTER>
> ###
> cleanEx()
> options(digits = 7L)
> base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
Time elapsed:  9.797 2.206 12.076 0 0 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')