How to tune hyperparameters for machine learning in R with the mikropml package (CC126)

July 12, 2021 • PD Schloss • 1 min read • •

Code

You can browse the state of the repository at the

Installations

If you haven’t been following along, you can get caught up by doing the following:

(windows) Install the Ubuntu Linux BASH shell for Windows 10

(mac) Install homebrew and git

  /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
  brew install git

To get to where we are at the beginning of this episode (you won’t have the same issue numbers at Pat)…
- Set up a GitHub account
- Create a new GitHub repository
  - Call it “mikropml_demo”
  - Make it Public
  - Don’t check the box next to “Initialize this repository with a README”
  - Click the green “Create repository” button
- Go to your command line and enter the following replacing <your_github_id> with your GitHub user id
```
git clone git@github.com:SchlossLab/mikropml_demo.git
cd mikropml_demo
git reset --hard 8d4d8b100369746d1eb459dd8f0043ab0ee6496b
git remote set-url origin git@github.com:<your_github_id>/mikropml_demo.git
git push -u origin master
```
- Return to GitHub and refresh your browser.
- Go to the mikropml_demo directory on your computer and double click on the mikropml_demo.Rproj icon. This will launch RStudio and you’ll be good to go.