v0.1.3-rc.3

You can install ML Pipeline services by running:

kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.3-rc.3/bootstrapper.yaml
Install python SDK (python 3.5 above) by running:

pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.3-rc.3/kfp.tar.gz --upgrade

v0.1.3-rc.2

You can install ML Pipeline services by running:

kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.3-rc.2/bootstrapper.yaml
Install python SDK (python 3.5 above) by running:

pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.3-rc.2/kfp.tar.gz --upgrade

v0.1.3-rc.1

You can install ML Pipeline services by running:

kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.3-rc.1/bootstrapper.yaml
Install python SDK (python 3.5 above) by running:

pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.3-rc.1/kfp.tar.gz --upgrade

Version 0.1.2

You can install ML Pipeline services by running:

kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.2/bootstrapper.yaml

Install python SDK (python 3.5 above) by running:

pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.2/kfp.tar.gz --upgrade

Version 0.1.1

You can install ML Pipeline services by running:

kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.1/bootstrapper.yaml

Install python SDK (python 3.5 above) by running:

pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.1/kfp.tar.gz --upgrade

Version 0.1.0

You can install ML Pipeline services by running:

kubectl create -f https://storage.googleapis.com/ml-pipeline/release/0.1.0/bootstrapper.yaml

Install python SDK (python 3.5 above) by running:

pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.0/kfp.tar.gz --upgrade

Version 0.0.42

Initial release of the kubeflow/pipelines repository.