Statistical Learning Theory: Coding Exercises

Getting Started

To clone the repository, you need to setup the deploy key first.

Copy the deploy-key to your ~/.ssh/ folder.

Sometimes, you need to explicitly add an entry in the ~/.ssh/config:

    Host gitlab.ethz.ch
        IdentityFile ~/.ssh/slt2019
        IdentitiesOnly yes

Moreover, if you get permission errors, you should reset the permissions:

    chmod 640 ~/.ssh/config
    chmod 640 ~/.ssh/slt2019

Finally, clone the repository via ssh (not https!):

    git clone git@gitlab.ethz.ch:vwegmayr/slt-coding-exercises-19.git
    cd slt-coding-exercises-19

Create the conda environment, which contains the basic packages:

    conda env create -n slt-ce -f .environment

Activate the environment, and start the notebook:

    source activate slt-ce
    jupyter notebook slt-ce-0.ipynb

A new browser window with the first exercise should open.

To get the latest exercise, simply pull from the remote repo:

    cd slt-coding-exercises-19
    git pull origin master

Before you start working on an exercise, you should create a new branch:

    git checkout -b 12-345-678/slt-ce-0

The name of the branch should be your-legi-number/slt-ce-i, where i denotes the respective exercise.

The instructions for each exercise can be found directly in the notebook.

Once you are done, encrypt your notebook:

    ./encrypt.sh slt-ce-0.ipynb
    > File encrypted as slt-ce-0.ipynb.encr

Then commit and push the encrypted notebook:

    git add slt-ce-0.ipynb.encr
    git commit slt-ce-0.ipynb.encr -m "Submit slt-ce-0"
    git push origin 12-345-678/slt-ce-0

You can only submit your notebook before the respective deadline.

We accept submissions only via git as described above.

Do not push notebooks which are not encrypted.

We offer 8 exercises. Each submitted exercise is graded between 4 and 6.

For admission to the written exam, you need to receive a grade of 4 in at least five exercises.

The exercise grade is computed as the average of your best five submissions.

The course grade is the weighted average of written exam and exercise (70%/30%).

Exercise grades: 5.5, 5.0, 5.0, 6.0, -, -, -, -

Failed course, submitted only four exercises!

Exercise grades: 5.0, 5.5, 5.0, 4.0, 6.0, 6.0, -, -

Exercise grade = (5.0 + 5.0 + 5.5 + 6.0 + 6.0) / 5 = 5.5

Exam grade = 5.0

Course grade = round(0.3 * 5.5 + 0.7 * 5.0) = 5.25

Hand-Ins are due by noon of the respective hand-in day, and the hand-in period typically starts one week earlier.

Exercises can not be handed in after the deadline, because the server is blocked!