Food Delivery Reviews Classification Prebuilt Model [Resolves #290]

[ertugrul-dmr]

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 Food Delivery Reviews Classification Prebuilt Model #290

[dafajon]

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.