PA2 - Logistic Regression

Recommended before Starting

We recommend checking out the following before getting started on PA2 Logistic Regression:

• The Week 3 videos and slides on Logistic Regression.
• Chapter 5 of Jurafsky and Martin (3rd ed.), particularly sections 5.1-5.4

Cloning the Assignment

Jupyter Notebook

You can get started using the same steps you followed for PA1. To recap, you'll want to:

1. Open a terminal (terminal for macOS and Linux, Ubuntu for Windows for Windows, or SSH into Rice/Myth) the same way you did for PA1.

2. Clone the git repository for PA2 (this repository) into a folder of your choice by typing this in your terminal:

    git clone https://github.com/cs124/pa2-logistic-regression.git
   

3. Enter the project root directory and activate your cs124 conda environment by doing:

    cd pa2-logistic-regression
    conda activate cs124
   

   You should now see (cs124) in front of your shell prompt.

   You'll need to do this every time you open a new terminal and re-start your notebook server. You should have already created this conda environment as part of PA0. If not, and you encounter an error, please go back and follow the instructions there.

4. Start up your jupyter notebook server

    jupyter notebook
   

5. A window should open automatically in your default browser. If it didn't, the terminal output should contain a URL you can use to open the notebook in a browser of your choice.

6. From the Jupyter notebook file explorer window that opens, click on the pa2.ipynb file to open and edit it.

Google Colaboratory

1. Go to colab.research.google.com. If prompted to open a notebook, hit cancel for now. You should double-check that you are logged in to your Stanford Google account. If not, you can switch accounts in the top right.

2. Now go to File->Open Notebook. Go to the GitHub tab. It will ask you to log in to your GitHub account (if you don't have one it is easy to make one). Once you've done that, copy and paste the URL: https://github.com/cs124/pa2-logistic-regression into the search box and hit enter. It should show:

        Repository: cs124/pa2-logistic-regression
        Branch:  Main
   

   Click on pa2.ipynb below to load the notebook.

Submitting your Solution

macOS/Linux

1. You can run the submission cell in the Jupyter notebook to zip up your solution for you. It should generate a zip file submission.zip.

2. Upload the zip file as your solution to the PA2 Logistic Regression assignment in Gradescope (http://www.gradescope.com).

Ubuntu for Windows

1. You can run the cell at the bottom of the Jupyter notebook to zip up your solution for you. It should generate a zip file submission.zip.

2. Run the following command to transfer that zip file over from WSL to your local computer:

   cp ~/cs124/pa2-logistic-regression/submission.zip /mnt/c/Users/YOUR_USER_NAME/OneDrive/Desktop/

   Note that you may want to replace OneDrive/Desktop/ with another destination folder based on your preferences.

3. Upload the zip file as your solution to the PA2 Logistic Regression assignment in Gradescope (http://www.gradescope.com).

Rice/Myth

1. You can run the cell at the bottom of the Jupyter notebook to zip up your solution for you. It should generate a zip file submission.zip.

2. You will then need to download/copy the zip file from Rice/Myth to your local machine.

   • [macOS/Linux/Ubuntu for Windows]

     After you have created the submission zip, first, run this command to find where the submission zip is:

        pwd
     

     This should return something like

        /afs/.ir/users/YOUR/SUNET/ID/cs124/pa2-logistic-regression
     

     Copy that command and append submission.zip to it:

        /afs/.ir/users/YOUR/SUNET/ID/cs124/pa2-logistic-regression/submission.zip
     

     Then, cd into a local folder where you'd like to save the submission zip, and use the following command to copy the zip from Myth to your local machine:

     scp -r [SUNet]@[rice/myth][rice/myth machine number].stanford.edu:/afs/.ir/users/YOUR/SUNET/ID/cs124/pa2-logistic-regression/submission.zip .
     

     You can replace . with a relative path to a local directory you'd like to copy the zip file to.

   • [Windows] PSCP is another utility that should have been installed automatically when you installed PuTTY earlier. Find and run it. In the terminal window, you can run the command:

        pscp [Your SUNet]@rice.stanford.edu:/path/to/submission.zip c:\temp\submission.zip
     

   to download the file from Rice/Myth to your local machine. You should now be able to access the file locally at c:\temp\submission.zip

3. Upload the zip file as your solution to the PA2 Logistic Regression assignment in Gradescope (http://www.gradescope.com).

Google Colaboratory

1. Once you've saved all your changes, go to File->Download .ipynb to download your notebook file to your local machine.

2. If your solution required any extra files, make sure they were located in pa2-logistic-regression/deps. Go to the file explorer on the left-hand side and download those as well.

3. Once you have pa2.ipynb and any deps files you need saved locally, create a zip file (either from your OS's file explorer or the terminal), making sure that it has the following structure:

    deps/
    pa2.ipynb
   

4. Upload the zip file as your solution to the PA2 Logistic Regression assignment in Gradescope (http://www.gradescope.com).