R/Dataset_Adiac.R

#' @title The automatic diatoms identification.
#'
#' @description The data is collected from a pilot study on automatic identification of 
#' diatoms (unicellular algae) from images.
#' @details The dataset originally had
#' 37 classes. This built-in data sets one class as the positive class (class 1) and all others
#' are set to the negative class (class 0) to form a highly imbalanced dataset. 
#'
#' @format A dataset with 781 observations and a sequence length of 176, with a single sequence per row. 
#' \describe{
#'   The y data is the class label (1 or 0).
#'   
#'   The x data constructs time series sequences (numeric).
#'   
#'   The training dataset contains 390 observations.
#'   
#'   The testing dataset contains 391 observations.
#' }
#' 
#' @docType data
#' @keywords datasets
#' @name Dataset_Adiac
#' @usage data(Dataset_Adiac)
#' @source \url{http://timeseriesclassification.com/description.php?Dataset=Adiac}
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OSTSC documentation built on May 2, 2019, 5:16 a.m.