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Capstone Project of IBM AI Enterprise Workflow

Forecasting the time series revenue for the next 30 days from aavail dataset

Please note

All commands are run in this directory.

1. Data Ingesting and EDA

Run part1.ipynb

2. Baseline Model and Performance

Run part2.ipynb

3. To train and test the model

~$ ! python model/model.py

4. To run API test, opening the API first

~$ python app.py
~$ ! python unittests/ApiTests.py

5. To run all of the tests

~$ python run-tests.py

6. To build the docker container

~$ docker build -t YOUR_IMAGE_NAME .

7. Run the container to test that it is working

~$ docker run -p 4000:8080 YOUR_IMAGE_NAME

Go to http://0.0.0.0:4000/

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