Download embeddings from https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit
- unzip to the same folder as 'dataset.csv'
- can be deleted after training/predicting once, when 'embed.dat' and 'embed.vocab' have been created
From the command line, run:
python svc_checker.py (CSV_PATH)
Note that CSV_PATH is optional, by default it will look in "./data.csv"
From the command line, run:
python checker.py <MODEL AND DATA PATH> train
From the command line, run:
python checker.py <MODEL AND DATA PATH> predict <CSV PATH>