Nicolas Lassaux

@maciejkula First thank you for your work! Cold fold-in seem to be a very valuable feature for lightfm, do you already have anything in the pipeline?

Understood, thank you for your answer 👍

Hi! Thank you for all your work! Is it the same with callables? Because I tried to execute the following code: ``` def userdist(x, y): distance = vincenty((x[0], x[1]), (y[0],...

Hi there, I don't know if it helps, but I can see the same in that case with only test_size: ``` from iterstrat.ml_stratifiers import MultilabelStratifiedShuffleSplit import numpy as np y...

Ah, just read that in the doc of `MultilabelStratifiedShuffleSplit`: > Train and test sizes may be slightly different from desired due to the > preference of stratification over perfectly sized...

Hi there, this is expected from LLM, you should check that [thread](https://community.openai.com/t/a-question-on-determinism/8185) to learn more about this unavoidable issue.

Note: I've seen some adblockers or company policies look for `tracking` too in the URL. Renamed it differently to avoid the issue

I'm using v1.12.2, adding it to the issue's description! The new features were good though :(

Thank so much for your help, downgrading as well over here then!

Hey! Have you tried the following? ``` def object_construct(function_name: str, params: list[tuple[str, str]]) -> CustomFunction: parameters = [] for p in params: params.append(param[0]) #append the param's name params.append(param[1]) #append the...