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Text classification template with scikit-learn
Summary
This PR consists of a text classification template using scikit-learn as stated in #4.
Details
- Scikit-learn
- NLTK for stemming and lemmatization
- Example text files provided in the
data/
folder (in spanish) -
test.py
file added in order to check the functionality of the template code itself (needs to be removed before merging)
Checklist
- [x] all tests are passing (see README.md on how to run tests)
- [x] if you created a new template: it contains a file
test-inputs.yml
, which specifies a few input values to test the code template (the test is then automatically run by pytest) - [x] you formatted all code with black
- [x] you checked all new functionality live, i.e. in the running web app
- [x] any generated code is formatted nicely, both in .py and in .ipynb ("nicely" = comparable to the existing templates)
- [x] you added comments in your code that explain what it does
- [x] the PR explains in detail what's new
async daysConfig?
yes correct ! it would be great if you could implemented that
English is not my native language; please excuse typing errors.
Good idea! I am refactoring the style, and then I will consider joining this feature.
interesting feature, any news?!?