The previous section developed a deep learning model for a binary classification task, this section develops a deep learning model to predict a continuous numeric value, regression analysis. We use the same dataset that we used for the binary classification task, but we use a different target column to predict for. In that task, we wanted to predict whether a customer would return to our stores in the next 14 days. In this task, we want to predict how much a customer will spend in our stores in the next 14 days. We follow a similar process; we load and prepare our dataset by applying log transformations to the data. The code is in Chapter4/regression.R:
set.seed(42)fileName <- "../dunnhumby/predict.csv"dfData <- read_csv(fileName, ...
