Leak detection and time series forecasting
docker build -t ollin18/presage:0.1 .
docker run -it --rm \
-v $(pwd)/data:/data \
-v $(pwd)/figs:/figs \
-v $(pwd)/src:/src \
ollin18/presage:0.1 /bin/bash
/src/train.py --yi "2017" --yf "2017" --mi "01" --mf "03"
You can change the parameters. They stand for initial and final year and month.
/src/predict.py --y "2017" --m "12" --d "17"
The parameters stand for year, month, day.
TODO
- Add parameters such as epoch and batch size
- Connect to SQL database
- Real-time predictions
- CUDA integration
- Pass args through docker run