Version 0.1.35

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

python3 -m pip install kfp --upgrade

See the Change Log

Version 0.1.34

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

python3 -m pip install kfp --upgrade

See the Change Log

Version 0.1.33

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

pip3 install kfp --upgrade

See the Change Log

Version 0.1.32

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

pip3 install kfp --upgrade

See the Change Log

Version 0.1.31

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

pip3 install kfp --upgrade

Version 0.1.30

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

pip3 install kfp --upgrade

Version 0.1.29

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

pip3 install kfp --upgrade

Version 0.1.27

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:

pip3 install kfp --upgrade

See the Change Log

Version 0.1.26

To deploy Kubeflow Pipelines in an existing cluster, follow the instructions here.

To install the latest python SDK from PyPi, run:

pip3 install kfp --upgrade

See the Change Log

Version 0.1.25

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.5 above) by running:
pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.25/kfp.tar.gz --upgrade

See the Changelog