Introduction to mlr3

In this blog I aim to explain what I understand from re-doing the following tutorial.

Introduction

Loading the dataset

Before starting the tutorial I had to create a seperate file to download the csv file that was needed.

In a file that I called Download.R :

other.name.vec <- c("EMNIST", "FashionMNIST")
data.name.vec <- c(other.name.vec, "MNIST")

prefix <- "https://rcdata.nau.edu/genomic-ml/cv-same-other-paper/data_Classif/"
data_Classif <- "~/data_Classif"
options(timeout = 600)#seconds
for(data.name in data.name.vec){
  data.csv <- paste0(data.name, ".csv")
  local.csv <- file.path(data_Classif, data.csv)
  if(!file.exists(local.csv)){
    remote.csv <- paste0(prefix, data.csv)
    download.file(remote.csv, local.csv)
  }
}

This code will create a new folder called data_Classif in which you’ll find the files :

• EMNIST.csv

• FashionMNIST.csv

• MNIST.csv