Release with numpy >=1.21

[deepandas11]

Wondering if there's a timeline for a release that incorporates the usage of numpy>=1.21? Main motivations being:

1. Security vulnerabilities
2. Installing poweshap in a python environment becomes troublesome, especially when other libraries in the environment set hard requirements on numpy>1.21

[jvdd]

Hi @deepandas11,

Thx for your suggestion! I completely agree with your motivation.
The main reason why we fixated our dependencies was to support python 3.7 (to support sklearn v0 as well).

However, as major libraries (pandas, numpy, sklearn) are dropping support for Python 3.7, I think it is fine for us to do the same (certainly in the light of security vulnerabilities).

I'll look into it in the near future :)

Cheers,
Jeroen

[jvdd]

I updated the dependencies in PR #22 and already created a release candidate;
pip install powershap==0.0.8rc1

Let me know if this works for you! 😄

[deepandas11]

I updated the dependencies in PR #22 and already created a release candidate; pip install powershap==0.0.8rc1

Let me know if this works for you! 😄

Thanks for responding so fast! Appreciate the concern.

However, this doesn't entirely fix my problem. Do let me know if the following is workable?
https://github.com/predict-idlab/powershap/pull/22/files#r924985993
https://github.com/predict-idlab/powershap/pull/22/files#r925017393

[jvdd]

Hey @deepandas11,

Just wondering if this is still an issue?
If so, can you elaborate some more on this?

Cheers,
Jeroen