# NOT RUN {
mtcars$make <- unlist(lapply(strsplit(rownames(mtcars), " "), function(tokens) tokens[1]))
company <- if(is_keras_available()){
kms(make ~ ., mtcars, Nepochs=1, verbose=0)
}else{
list(y_test = mtcars$make[1:5],
predictions = sample(mtcars$make, 5))
}
confusion(company) # same as above confusion$company if is_keras_available() == TRUE
confusion(company, return_xtab = FALSE) # focus on pCorrect, most common errors
# }
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