R/datasets.R

#' Training Data Set
#' 
#' Training data set from the Facebook 5 Kaggle competition
#' 
#' @details From the competition:
#' "Facebook created an artificial world consisting of more than 100,000 places located in a 10 km by 10 km square. For a given set of coordinates, your task is to return a ranked list of the most likely places. Data was fabricated to resemble location signals coming from mobile devices, giving you a flavor of what it takes to work with real data complicated by inaccurate and noisy values. Inconsistent and erroneous location data can disrupt experience for services like Facebook Check In."
#' 
#' @seealso \link{test}
#' 
#' @format data.table
"train"

#' Test Data Set
#' 
#' Test data set from the Facebook 5 Kaggle competition
#' 
#' @details Need to predict unknown \code{place_id}'s for this data set.
#' 
#' @seealso \link{train}
#' 
#' @format data.table
"test"
rBatt/facebook5 documentation built on May 26, 2019, 7:44 p.m.