This repository contains code needed to generate spending profiles using categorized transaction data
- feature_creator.py creates the features needed for the dataset using the raw database data.
- tests_final_local.py generates testing results using the LOF algorithm
- tests_final_tree.py generates testing results using the Isolation Forest algorithm
- ok_means_implementation.py has the Ok-Means algorithm implementation
- profile_generation has the code needed for generating the spending pattern profile visualization