jsr-p / pmldiku-exam-paper

Paper for the exam in the probabilistic machine learning course at DIKU

PML Exam 2023

Code to replicate results

• The code to replicate the results of the paper are found inside code.
• In order to be able to replicate the results we have exported a yml-file with our environment inside code.
• See the guide on how to install the environment and package

Create environment and install package

• Change directory into code
• Create a new conda environment by running

conda env create -f pml.yml

• Activate the environment by running

conda activate pml

• Install the pmldiku package by running (from the top of the code directory):

pip install -e .

• If everything went smooth the package you should now be able to open a REPL and write:

❯ python
Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pmldiku
>>> pmldiku
<module 'pmldiku' (<_frozen_importlib_external._NamespaceLoader object at 0x7efe96c17a00>)>