Comments (1)
Hello @b-fa-ce, the previous version of the setup indeed had issues the coherence of the package versions. This is solved by the latest release of the data setup. You can upgrade your environment by creating a new virtual env and installing the requirements. Thanks for reporting ! 🙏
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Related Issues (20)
- Bump mlflow version to > 1.26 HOT 7
- python --version showing a different installation / not the pyenv version HOT 1
- myriad clone instructions : validate ssh-add
- Python packages step: error in "visions" requirement results in pip install failing HOT 1
- Apple Silicon - students need to manually install tensorflow-macos HOT 2
- jupyter notebook extensions - no extensions tab HOT 1
- Ubuntu [No WSL] VSCode install HOT 5
- deal with automatic updates automatically
- Extra quotes cause browser to not pop up on jupyter notebook command HOT 3
- Importing tensorflow breaks the python kernel HOT 1
- setup validation : assess TF + jupyter notebook
- evaluate changes on setup caused by wsl store availability
- generate en_US.UTF-8 locale HOT 3
- fix student and glovebox sqlite versions HOT 2
- Microsoft Store - Ubuntu
- fix scipy version to 1.10.0
- m1 student and brew HOT 4
- "Linking your default browser to Ubuntu" is outdated HOT 1
- apt-key is deprecated
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