MLOPS TASK :- 3

STEP : 1

Create a container image that has Python3 and Keras or NumPy installed using a Dockerfile.

Dockerfile:-

STEP : 2

Job:-1

Pull the Github repo automatically when some developers push the repo to Github.

Job:-2

By looking at the code or program file, Jenkins should automatically start the respective machine learning software installed interpreter install image container to deploy code and start training( eg. If code uses CNN, then Jenkins should start the container that has already installed all the software required for the CNN processing).

Job:-3

Train your model and predict accuracy or metrics.

Job:-4

If metrics accuracy is less than 80%, then tweak the machine learning model architecture.

Job:-5

If metrics accuracy is less than 80%, then trigger job4.

Job:-6

Notify that the best model is being created.

GITHUB LINK:-

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