Ensure that your kubectl is connected to a kubernetes cluster This can be done by modifying your kubectl config with a system path pointing to KUBECONFIG

You must have a docker registry for the docker images to be sent to. indicate the host to your docker registry in the file docker-registry-address

If you dont have a kubernetes cluster, try microk8s And then install kubectl separately:

cat microk8s.config >> ~/.kube/config Then add export KUBECONFIG=~/.kube/config into your bashrc

On microk8s, enable docker registry with microk8s.enable registry

Add the address of the docker private registry into your insecure-registries E.g http:https://localhost:32000 For Mac/Windows:

open the settings, goto the daemon tab and then pop in your registry’s URL in the “Insecure registries” Restart docker

vim /etc/docker/daemon.json

{
    "insecure-registries" : ["localhost:32000"]
}

Restart your docker service with systemctl restart docker

Just run the included install.sh file

sh install.sh

Just run the included uninstall.sh file

sh uninstall.sh

1. Frontend --> UI built with ReactJS to request predictions

2. Backend --> Backend built with Python Flask for

        sanitize inputs
        Track & record predictions
        REST API for model serving
        Requests Model Serving API
        REST API for past predictions
   

3. Mushroom Model --> ML Pipeline built with MLFlow

      Website for viewing model training / track models
      WorkFlow for Training and deploying model
      Model trained as a container
      Model deployed as an isolated container