In order to run this example, clone the repository. From within the cloned directory, build the image using the following command:
docker build –t prophet_forecast .
After building the repository, you can run the image, using the following command:
docker run -it -p 8888:8888 -v "$(pwd)"/notebooks:/notebooks prophet_forecast
If you are using Windows, you may need to change "$(pwd)" to the absolute path of the cloned directory.
Copy the URL that is shown on terminal, replace the IP 0.0.0.0 by "localhost" and paste it into your browser to open up the jupyter frontend:
http://0.0.0.0:8888/?token=d748d...
needs to be modified into:
http://localhost:8888/?token=d748d...
Afterwards, open up the "Apply Prophet" notebook and run all cells (Cell -> Run all). If you want to use another time series, add a file formatted as data/anrufe_mittelerde.csv to the data folder (you can do this on the file system or use the "Upload" button in the Jupyter interface. Modify the second code cell (FILE_NAME = ...) and run all cells again.