Repository for the first data challenge 3 project, SUPSI DS & AI course.
We recommend to use this project with the python version 3.10. Files can be run manually, or a main file to execute the whole pipeline can be started. If you want the latter solution, please run the file named "main.py" located in the "main_with_functions" repository branch.
Please check that all the required libraries are installed. For the correct functioning of this project please copy the file located in the ./main/mod directory called "features.py" to the source files of the TSFEL library. The default TSFEL library path is:
Windows: C:\Users\<user name>\anaconda3\envs\<environment name>\Lib\site-packages\tsfel\feature_extraction\
Mac:~/anaconda3/envs/<environment name>/lib/python3.10/site-packages/tsfel/feature_extraction/
Linux: ~/anaconda3/envs/<environment name>/lib/python3.10/site-packages/tsfel/feature_extraction/
Run these commands to install all the required libraries:
If you have mambaforge installed we recommend to use that, as it is much faster than conda.
mamba install scikit-learn xgboost pandas matplotlib seaborn hyperopt tabulate numpy nltk scipy igraph tqdm networkx karateclub shap mlxtend openpyxl
Other libraries not available with conda or mamba:
pip install tsfel
To make sure the project does not run into errors, below are the pictures of how it is structured:
