Comments (4)
LBlend
commented on September 22, 2024
I have verified that this is a compatibility issue between packages and not a fault on our end. We should specify the version number for python packages in order to prevent this from happening in the future.
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LBlend
commented on September 22, 2024
Because of this, I have resorted to running the 1.0.0 release in production. I have to use a release without Tensorflow
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marksverdhei
commented on September 22, 2024
Yep. I actually stumbled upon this problem in another project as well. It's most likely caused by having a too recent version of numpy. I'd suggest making sure to install a tensorflow-compatible numpy version. I fixed it by installing numpy==1.19.5
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LBlend
commented on September 22, 2024
Yep. I actually stumbled upon this problem in another project as well. It's most likely caused by having a too recent version of numpy. I'd suggest making sure to install a tensorflow-compatible numpy version. I fixed it by installing numpy==1.19.5
This resolves issue. Great! 👌
I will go ahead and push the changes
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Related Issues (20)
- Auto-publish prebuilt docker images to dockerhub/github
- Add frontend switch to swap between classifiers
- Fix text margins. About page
- Validate classifiers
- Make About page logo image responsive
- Add automatic "awaiting approval" labeling using some bot
- Add automated frontend code style linting HOT 1
- Translate README into english
- Replace all NLTK with scikit-learn HOT 1
- Make rnn (or other) model to beat naïve bayes baseline HOT 1
- Make config setup for hyperparameter tuning of deep model HOT 2
- Add option for environment variables in docker compose HOT 1
- Move front end/backend into separate repos? HOT 7
- Specify lib versions for requirements.txt HOT 4
- Add Black formatting git hook / github action HOT 1
- Use more semantic variable names and field names
- Fix CORS errors HOT 1
- Implement a logistic regression classifier HOT 2
- consider using git submodules for corpus
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