search

AmenRa / ranx

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
https://amenra.github.io/ranx
MIT License
427 stars 23 forks source link

Getting "Segmentation fault (core dumped)" error #56

Closed sara-salamat closed 9 months ago

sara-salamat commented 10 months ago

Hello, Thank you for your amazing work. I am trying to use supervised fusion methods like this:

best_params = optimize_fusion(
qrels=qrels,
runs=[run_4, run_5],
norm='min-max',  # Default value
method='posfuse',  
metric="mrr@10",  
)

combined_run = fuse(
runs=[run_4, run_5],
norm='min-max',  # Default value
method='posfuse',  # Alias for Weighted Sum
params=best_params,
)

I tried changing the norm and metric to every possible value but I still get "Segmentation fault (core dumped)" error. I could not find any hints in the documentation about. sorry if I am missing something but can you help me with using these fusion methods? thanks,

AmenRa commented 10 months ago

Hi and thanks for the kind words!

Can you tell me the OS you are using and the version of numba installed? The issue is probably related to numba, which is a library ranx heavily relies on.

sara-salamat commented 10 months ago

At first I was using an Ubuntu remote server (Ubuntu 20.04.6 LTS). I was getting that error for most of the approaches. I changed to macOS and now they are working fine! Thanks!