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

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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>)>

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