Explaining an Image Classification Model with Vertex Explainable AI Reviews

Please fix the setup code as the entire time allotted for the Lab is usually spent trying to fix the tensorflow-hub import error involving pkg_resources. See the steps that worked for me below: Fix: Root Cause The machine has multiple Python environments (/opt/conda/, ~/.local/, plus conda envs for pytorch, tensorflow, jupyterlab). The notebook kernel uses /opt/conda/bin/python, but setuptools was either missing or installed in the wrong version there. The old version of tensorflow_hub in /opt/conda/ depends on pkg_resources, which is part of setuptools — but newer setuptools (70+) broke this by making pkg_resources no longer automatically available. What Was Tried (in order) pip install --user setuptools → already satisfied, but in the wrong environment pip install --user --force-reinstall setuptools → installed to ~/.local/, not where the kernel looks pip install --force-reinstall tensorflow-hub tensorflow-model-remediation → installed correctly but pkg_resources still broken /opt/conda/bin/pip install --force-reinstall tensorflow-hub → put packages in the right place but setuptools was still too new /opt/conda/bin/pip install --force-reinstall setuptools==69.5.1 ✅ → this fixed it Why setuptools==69.5.1 Was the Fix The find command revealed that pkg_resources only existed inside pip's own vendor folder, not as a standalone importable module. This confirmed that setuptools was either missing or too new. Versions 70+ of setuptools changed how pkg_resources is exposed, breaking older packages that import it directly. Pinning to 69.5.1 restored the old behaviour and made pkg_resources importable again. Key Lesson Always install packages using /opt/conda/bin/pip (not pip or pip install --user) when the notebook kernel is /opt/conda/bin/python. The --user flag installs to ~/.local/, which may or may not be on the kernel's path, causing confusing split-environment issues.

OBINNA O. · Reviewed 11 дней ago

Vishwa K. · Reviewed 11 дней ago

very good

Sakshi S. · Reviewed 11 дней ago

Shivanshi B. · Reviewed 11 дней ago

Has errors

Dong K. · Reviewed 11 дней ago

SAMIKSHA JAGTAP B. · Reviewed 11 дней ago

Puvi y. · Reviewed 11 дней ago

Jeeva M. · Reviewed 11 дней ago

Arivu G. · Reviewed 11 дней ago

Partha S. · Reviewed 11 дней ago

BIKKINA H. · Reviewed 11 дней ago

Abhijeet G. · Reviewed 11 дней ago

Srinivasan H. · Reviewed 11 дней ago

Jaydeep K. · Reviewed 11 дней ago

Adith S. · Reviewed 11 дней ago

Aakib R. · Reviewed 11 дней ago

schlecht!!!

Juergen W. · Reviewed 11 дней ago

The lab has issues

andres m. · Reviewed 11 дней ago

Jing C. · Reviewed 11 дней ago

Pranali B. · Reviewed 11 дней ago

Piyush G. · Reviewed 11 дней ago

Ashwini P. · Reviewed 11 дней ago

Ragavendran R. · Reviewed 12 дней ago

Pratik P. · Reviewed 12 дней ago

very good

Sakshi S. · Reviewed 12 дней ago