Food Delivery Reviews Classification Prebuilt Model [Resolves #290] - Githubissues

GlobalMaksimum / sadedegel

A General Purpose NLP library for Turkish

http://sadedegel.ai

MIT License

93 stars 15 forks source link

Food Delivery Reviews Classification Prebuilt Model [Resolves #290] #291

Closed ertugrul-dmr closed 2 years ago

ertugrul-dmr commented 3 years ago

sadedegel/prebuilt/README.md:

Added how to use prebuilt pipeline
Added how to use evaluation
Added holdout test set F-1 macro score

sadedegel/prebuilt/model/food_sentiment.joblib:

Dumped pretrained/optimized model weights

sadedegel/prebuilt/food_reviews.py:

Created functions according to CONTRIBUTING.md
Implemented build, load and evaluate functions
Added optional argument to check roc_auc score for predict_proba method
Best model and vectorizer parameters are selected using bayesian optimizer

tests/prebuilt/context.py:

Added import line for the base model

tests/prebuilt/test_food_reviews.py:

Added assertions for testing purposes.

sadedegel/dataset/food_review/*

Created a dataset imports by @dafajon based on the data I mentioned on Issue #290

dafajon commented 3 years ago

Which function did you use as loss during Bayesian Opt? Can you upload optimization code separately on a private gist and share with me as contributor. Let's version it for future use next to optuna.