tymick / loan-risk-neural-network Goto Github PK

After clone when I am running the app, I am getting this error. The error is in predict.py file

The transformer is giving this error when the transformer definition is taken from the Kaggle notebook, its working fine.

@TyMick

Hi, I'm reaching out to query the decision behind building a loan risk network. I'm trying to figure out what made you choose this approach compared to writing a function an essentially assigning weights to each item using if/else statements as apposed to trying to normalise data coming in and building a neural network?

For example, if someone's risk of not paying back is on a scale of 0 to 100, where 100 is unlikely to pay back, why not just create a "points" system assigning a set of points to each field based on the value, like saying if someone's loan amount is super high and their borrowing term is super low to assign a higher weight?

Just trying to uncover this reason

Getting this error:
ValueError: ['term', 'application_type', 'home_ownership', 'purpose']: Found unknown categories ['wedding'] in column 3 during transform
The full stack of error is here...

https://github.com/shantanuo/stack_question/blob/master/loan-risk-neural-network.ipynb