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# http://www.lotharschulz.info/2018/05/06/kubeflow-jupyter-notebook-on-kubernetes | |
# Create a namespace for kubeflow deployment | |
NAMESPACE=kubeflow | |
# start kubernetes cluster using minikube | |
minikube start | |
# create the kubeflow namespace | |
kubectl create namespace ${NAMESPACE} | |
# ksonnet package versions | |
VERSION=v0.1.3 | |
# define app name | |
APP_NAME=my-kubeflow | |
# stop cluster to work around | |
minikube stop | |
# Initialize a ksonnet app. | |
ks init ${APP_NAME} | |
cd ${APP_NAME} | |
# Namespace for it's default environment. | |
ks env set default --namespace ${NAMESPACE} | |
# install kubeflow components | |
ks registry add kubeflow github.com/kubeflow/kubeflow/tree/${VERSION}/kubeflow | |
ks pkg install kubeflow/core@${VERSION} | |
ks pkg install kubeflow/tf-serving@${VERSION} | |
ks pkg install kubeflow/tf-job@${VERSION} | |
ks generate kubeflow-core kubeflow-core | |
# start cluster to prepare deployment | |
minikube start | |
# deploy kubeflow | |
ks apply default -c kubeflow-core | |
# enable port forwarding to jupyter server - access http://127.0.0.1:8100 in browser | |
kubectl port-forward tf-hub-0 8100:8000 --namespace=${NAMESPACE} | |
# optional: access minkube cluster dashboard at kubeflow namespace - http://192.168.99.100:30000/#!/overview?namespace=kubeflow | |
minikube dashboard | |
# optional: build a dummy model | |
$ ks generate tf-job my-tf-job --name=my-tf-job --image=gcr.io/tensorflow/tensorflow | |
$ ks apply default -c my-tf-job |
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