UC Project House Price Prediction - adaptation of Attention-Based Spatial Interpolation for House Price Prediction (https://github.com/darniton/ASI)
Our main experiments can be run with python experiments.py [dataset]
dataset can be any of:
- fc
- kc
- poa
- sp
- nl
WARNING: running the full experiments, most notably on the fc dataset, requires a large amount of RAM. The kc dataset experiments may be possible to run on a local computer with sufficient ram (16/32g).
The results folder contains results from our experiments along with a notebook of visualizing them.
For the main experiments, it is required to download larger data files from here and place them in their respective datasets folder.
- python 3.8(.15)
- other requirements listed in the requirements.txt