If you just want to look at the code, refer to CovidClassifier.py. This is colab's downloaded version of my ipynb.
Getting the visual outputs will require more steps:
- Fork and clone this repository
- Unzip
SS24.zip(Data) andbest_models.zip(encoded version of already trained models). - Open in preferred IDE -- I used colab so this didnt hurt my CPU.
- Modify
CovidClassifier.ipynbso that all sections of the code that refer to relative paths reflect the desired paths on your local machine. I explicitly state when this is necessarry in the file. - Run every cell sequentially except for the cells where the models are trained. You can simply load the models from memory.
Important Remark: If you get a bunch of these in your outputs "Could not render content for 'application/vnd.jupyter.widget-view+json' {"version_major":2,"version_minor":0,"model_id":"6eef6f34b0b4420da99bb7d2d86d94de"}" You need to change these import statements "from tqdm.notebook import tqdm" to "from tqdm import tqdm"