R Deep Learning Cookbook

How to do it...

The current occupancy dataset as described in Chapter 1, Getting Started, is used to demonstrate the autoencoder setup in R using TensorFlow:

1. Set up the R TensorFlow environment.
2. The load_occupancy_data function can be used to load the data by setting the correct working directory path using setwd:

# Function to load Occupancy dataload_occupancy_data<-function(train){xFeatures = c("Temperature", "Humidity", "Light", "CO2",  "HumidityRatio")yFeatures = "Occupancy"  if(train){    occupancy_ds <-  as.matrix(read.csv("datatraining.txt",stringsAsFactors = T))  } else  {    occupancy_ds <- as.matrix(read.csv("datatest.txt",stringsAsFactors = T))  }  occupancy_ds<-apply(occupancy_ds[, c(xFeatures, yFeatures)], 2, FUN=as.numeric)  return(occupancy_ds) ...