IBM AI Enterprise Workflow Capstone

Evaluation Criteria Input

Are there unit tests for the API?

unittests/ApiTests.py

Are there unit tests for the model?

unittests/ModelTests.py

Are there unit tests for the logging?

unittests/LoggerTests.py

Can all of the unit tests be run with a single script and do all of the unit tests pass?

/run-tests.py

Is there a mechanism to monitor performance?

logger.py

Was there an attempt to isolate the read/write unit tests From production models and logs?

using sl as prefix for production models and logs. For test no prefix is used

Does the API work as expected?

For example, can you get predictions for a specific country as well as for all countries combined?

app.py

Does the data ingestion exists as a function or script to facilitate automation?

cslib.py

Where multiple models compared?

model_performance.py

Did the EDA investigation use visualizations?

notebooks/Part1 EDA.ipynb

Is everything containerized within a working Docker image?

Dockerfile

Did they use a visualization to compare their model to the baseline model?

Usage notes

All commands are from this directory.

To test app.py

.. code-block:: bash

~$ python app.py

or to start the flask app in debug mode

.. code-block:: bash

~$ python app.py -d

Go to http://0.0.0.0:8080/ and you will see a basic website that can be customtized for a project.

To test the model directly

see the code at the bottom of model.py

.. code-block:: bash

~$ python model.py

To build the docker container

.. code-block:: bash

~$ docker build -t revenue-ml .

Check that the image is there.

.. code-block:: bash

~$ docker image ls

You may notice images that you no longer use. You may delete them with

.. code-block:: bash

~$ docker image rm IMAGE_ID_OR_NAME

And every once and a while if you want clean up you can

.. code-block:: bash

~$ docker system prune

Run the unittests

Before running the unit tests launch the app.py.

To run only the api tests

.. code-block:: bash

~$ python unittests/ApiTests.py

To run only the model tests

.. code-block:: bash

~$ python unittests/ModelTests.py

To run only the model tests

.. code-block:: bash

~$ python unittests/LoggerTests.py

To run all of the tests

.. code-block:: bash

~$ python run-tests.py

Run the container to test that it is working

.. code-block:: bash

~$ docker run -p 4000:8080 revenue-ml

Go to http://0.0.0.0:4000/ and you will see a basic website that can be customised for a project.