# If you are getting errors or not getting the output in PART 1 then try PART 2 # -------------PART 1------------- > pip install -r requirements.txt ## Run the file with .uai and .evid files as arguments ## for e.g. > python bucket_elimination.py input_files/1.uai input_files/1.uai.evid # -------------PART 2------------- # Steps to run the code... commands are tested in linux.. you can apply alternative commands for windows/MacOS ## Step 1 creating a virtual environment to run the code so that it does not conflicts with other instaled packages on the machine > python3 -m venv my_env ## Step 2 if the above gives error then make sure your python version is 3.6 or above and install the venv package. If no error move to Step 3 ### for linux and MacOS > python3 -m pip install --user virtualenv ### for windows > py -m pip install --user virtualenv ## Step 3 activate the environment > source my_env/bin/activate ## Step 2 use requirements.txt file to install required packages > pip install -r requirements.txt ## Run the file with .uai and .evid files as arguments ## for e.g. > python bucket_elimination.py input_files/1.uai input_files/1.uai.evid ## after running the above you'll see the output printed on the screen and also written to output.txt in the current working folder ### once done with grading of the code you can deactivate the environment and delete it > deactivate > rm -r my_env
ziyaddhuka/variable-elimination-bayesian-network
Variable elimination in Bayesian network (using Bucket elimination)
Python