MIND-Lab/OCTIS

Dependency incompatibility

mitramir55 opened this issue · 2 comments

mitramir55 commented
  • OCTIS version: octis 1.12.0
  • Python version: 3.10.11
  • Operating System: Linux (Colab notebook)

Description

I'm trying to install Octis and import its modules.

What I Did

First, I installed Octis with pip install octis. Then I see the following error in the installation process:

Installing collected packages: scikit-learn
  Attempting uninstall: scikit-learn
    Found existing installation: scikit-learn 1.2.2
    Uninstalling scikit-learn-1.2.2:
      Successfully uninstalled scikit-learn-1.2.2
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
yellowbrick 1.5 requires scikit-learn>=1.0.0, but you have scikit-learn 0.24.2 which is incompatible.
imbalanced-learn 0.10.1 requires scikit-learn>=1.0.2, but you have scikit-learn 0.24.2 which is incompatible.
Successfully installed scikit-learn-0.24.2

Afterwards, I have issues importing the Coherence module and I receive the following error:
ImportError: numpy.core.multiarray failed to import

I tried installing the two packages that cause the issue myself; however, I faced some other issues revolving around the version of Numpy and Python.

The issue happens when running the notebook you've provided as an example.

tanstephenjireh commented

Same issue

silviatti commented

Hi,
I think the issue is fixed from version 1.12.1. The package will be released in less than an hour. Let me know if you still encounter the same problem. Thanks,

Silvia

  • 👍1