Prepare the ready-to-use M5 data in one data.frame

It's a memory-efficient function, which uses data.table under the hood. However, it still not recommended to use this function on PCs with < 16GB RAM. In such case, consider to use a custom solution based on [arrow](https://arrow.apache.org/docs/r/) or [disk.frame](https://diskframe.com/index.html)

m5_prepare(sales_train, sales_test, calendar, sell_prices)

Arguments

sales_train

A data.frame with M5 train data

sales_test

A data.frame with M5 test data

calendar

A data.frame with M5 calendar

sell_prices

A data.frame with M5 sell_prices

Examples

library(m5)
library(zeallot)
if (FALSE) {
m5_download('data')
c(sales_train,
  sales_test,
  sell_prices,
  calendar) %<-% m5_get_raw_evaluation('data')

m5_data  <-
   m5_prepare(sales_train, sales_test, calendar, sell_prices)
}