Comments (1)
Hi @wendlingd. Currently we've provided a requirements.txt file with the versions of the libraries we support. As long as you use those versions, our code should work.
As for updating the libraries and the code, that is in the works. We'll hopefully have a clear timeline on it in the near future.
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Related Issues (20)
- [BUG] for Ch4/08_LimeDemo.ipynb HOT 2
- Refactor the repo for compatibility with latest ubuntu & ML libraries
- Handle remaining issues in the pnlp-refactor-ubuntu23
- Fix notebook dying due to inactivity on Google Colab (ch 4, nb 6)
- Address DeepExplainer issue. Shap interface internals seem to have changed (ch 4, nb 10)
- Address Fast AI response issue. Fast AI return type seems to have changed (ch 4, nb 10)
- Fix notebook dying due to inactivity on Google Colab (ch 4, nb 7)
- Address LexNLP Library issue. Installing newer version of LexNLP give error (Ch10, nb 2)
- Address Autosklearn Library issue. Installing newer version of Autosklearn give error (Ch11, nb1)
- Fix Dependency Issues and Update code with latest versions of python libraries for Notebooks of Chapter 4
- Fix and Update Ch4/08_LimeDemo.ipynb to support latest version of Ubuntu and Python
- Fix and Update Ch4/09_Lime_RNN.ipynb to support latest version of Ubuntu and Python
- Fix Dependency Issues and Update code with latest versions of python libraries for Notebooks of Chapter 5
- [BUG] Chapter 2 Notebook 6 - 'utils' module not found
- macOS 'Buggy Accelerate Backend when using numpy 1.19'
- Issue with code sample in book from chapter 3 "PRE-TRAINED WORD EMBEDDINGS"
- [BUG] Mistakes in Ch4/01_OnePipeline_ManyClassifiers.ipynb HOT 5
- [BUG] Ch4/01_OnePipeline_ManyClassifiers.ipynb missing sklearn import HOT 4
- [BUG]
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