Version 0.1.6
You can install ML Pipeline services by running:
kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.6/bootstrapper.yaml
Install python SDK (python 3.5 above) by running:
pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.6/kfp.tar.gz --upgrade
Access UI instructions:
https://www.kubeflow.org/docs/guides/accessing-uis/
Changelog since v0.1.5
- Bumping the sample version