Nothing
#' @title The Electrical Devices dataset.
#'
#' @description This dataset is taken from research Powering the Nation.
#' @details Powering the Nation collected behavioural data about how consumers use electricity within the home to help reduce the UK's carbon footprint.
#'
#' @format A dataset with 5527 observations of sequence length 96, with a single sequence per row.
#' \describe{
#' The y data is labeled as {5,6}.
#'
#' The x data constructs time series sequences (numeric).
#' }
#'
#' @references Lines J., Bagnall A., Caiger-Smith P., Anderson S. (2011) Classification of Household Devices by Electricity Usage Profiles.
#' In: Yin H., Wang W., Rayward-Smith V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011.
#' Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg.
#'
#' @return eds: the dataset ElectricalDevices
#' @export Dataset_ElectricalDevices
Dataset_ElectricalDevices <- function(){
eds <- local(get(load(url('https://github.com/lweicdsor/GSoC2017/raw/master/ElectricDevices/Dataset_ElectricalDevices.rdata'))))
return (eds)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.