R - Exporting Neural Network logic as a function from R to JavaScript or PHP

davidesp · September 2, 2019, 7:29am

This question was answered on the following topic:

How to export a trained Neural Network in R to a function in JavaScript or PHP or other language? General

I'm doing the following basic R tutorial below for Machine Learning: As suggested there, I just ran the following commands: set.seed(500) library(MASS) data <- Boston apply(data,2,function(x) sum(is.na(x))) index <- sample(1:nrow(data),round(0.75*nrow(data))) train <- data[index,] test <- data[-index,] lm.fit <- glm(medv~., data=train) summary(lm.fit) pr.lm <- predict(lm.fit,test) MSE.lm <- sum((pr.lm - test$medv)^2)/nrow(test) maxs <- apply(data, 2, max) mins <- apply(data, 2, min) scaled <- as.data.frame(scale(data, center = mins, scale = maxs - mins)) train_ <- scaled[index,] test_ <- scaled[-index,] library(neuralnet) n <- names(train_) f <- as.formula(paste("medv ~", paste(n[!n %in…