HarvardX 125.9x Project: Higgs dataset classification
2022-10-02
Preface
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0.1 R setup
# R 4.1 key features: new pipe operator, \(x) as shortcut for function(x)
# R 4.0 key features: stringsAsFactors = FALSE by default, raw character strings r"()"
if (packageVersion('base') < '4.1.0') {
stop('This code requires R >= 4.1.0!')
}
# Package manager
if(!require("pacman")) install.packages("pacman")
# Keras - deep learning package. You may need to restart R after installation
# before proceeding with the rest of the code in this project.
if(!require("keras")) {
install.packages("keras")
::install_keras()
keras
}
library(pacman)
p_load(data.table, dtplyr, tidyverse, R.utils, Rfast, knitr,
keras, caret, pROC, knitr, conflicted)
# The `conflicted` package will throw an error if a function name is ambiguous, unless
# A preferred package is given below.
conflict_prefer('summarize', 'dplyr')
conflict_prefer('summarise', 'dplyr')
conflict_prefer('filter', 'dplyr')
conflict_prefer('between', 'dplyr')
conflict_prefer('auc', 'pROC')
# Somehow, this seems to prevent memory leaks
::tf$compat$v1$disable_eager_execution() tensorflow