API Flask du modèle de classification déployée sur Heroku

Projet 7 du parcours Data Scientist

Cette API est interrogée par un dashboard développé grâce à Streamlit. Pour interagir avec l'api (tester les requêtes) :

view when API is launched (index)

https://oc-api-flask-mm.herokuapp.com

answer when asking for sk_ids

https://oc-api-flask-mm.herokuapp.com/api/sk_ids/

return json object of feature description when needed

https://oc-api-flask-mm.herokuapp.com/api/feat_desc

return json object of feature importance (lgbm attribute)

https://oc-api-flask-mm.herokuapp.com/api/feat_imp

return data of one customer when requested (SK_ID_CURR)

https://oc-api-flask-mm.herokuapp.com/api/data_cust/?SK_ID_CURR=100128

return data of 20 neighbors of one customer when requested (SK_ID_CURR)

https://oc-api-flask-mm.herokuapp.com/api/neigh_cust/?SK_ID_CURR=100128

return all data of training set when requested

https://oc-api-flask-mm.herokuapp.com/api/all_proc_data_tr/

answer when asking for score and decision about one customer

https://oc-api-flask-mm.herokuapp.com/api/scoring_cust/?SK_ID_CURR=100128

get shap values of the customer and 20 nearest neighbors

https://oc-api-flask-mm.herokuapp.com/api/shap_values/?SK_ID_CURR=100128