Set of utils that, at some point, came handy in my research.
- Extracting classifiers from bagging (ensemble) considering the original bagging classes
- Refitable label encoder
- Encode caterogical test and train to numerical values
- SLURM distributed system scheduling utils (batching)
- Distributing notebook experiments using different backends
- Creating multiple mlflow experiments based on params dict
- Get unfinished mlflow runs
- Caching classifier wrapper
- Measure time with context manager