Version 0.1.10
Deploy this release to GCP
https://deploy.kubeflow.cloud/#/deploy?version=e1408f2293ce72b5a89a9b40bc1998c56ac0d73b
Install python SDK (python 3.5 above) by running:
pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.10/kfp.tar.gz --upgrade
Connect to the UI:
kubectl port-forward --namespace kubeflow $(kubectl get pod --namespace kubeflow --selector="service=ambassador" --output jsonpath='{.items[0].metadata.name}') 8080:80
open http://localhost:8080/pipeline
See the Change Log