Releases: kubeflow/kubeflow
Releases · kubeflow/kubeflow
v0.2.6
v0.3.0-rc.0
Initial version of release v0.3.0
v0.2.5
v0.2.4
- Update TFJob operator image to the latest
v0.2.3
v0.2.3-rc.0
- Upgrade GKE version to fix #1348
- Make deploy.sh point to the configs on the v0.2-branch
v0.2.2
v0.2.1
Fixes in 0.2.1
- Upgrade central-ui image to v0.2.1 which includes link to JupyterHub
- Update Jupyter notebooks to include fixes to make TFMA widgets work
- Add deployment scripts for GKE and vanilla K8s
- Use PV for /home/jovyan by default
- Put all of PyTorch component into prototype
Improvements in 0.2
- TFJob - v1alpha2 - Makes a number of improvements to TFJob operator including the API
- Central UI - To make it easier to navigate among components
- JupyterHub - Better error reporting and monitoring along with support for mounting your home directory on PV for durability.
- Simplified deployment with a script to deploy in one command to an existing cluster
- GKE - One command deployment using a script using deployment manager.
- Automatic provisioning of DNS names as .endpoints..cloud.goog
- Simplified IAP setup
- Support for GKE's new Stackdriver logging agents
- Simplified ksonnet prototypes for TFJob; make it easier to do advanced customization
New in 0.2.
- Katib (experimental) - hyperparameter tuning system
- PyTorch(alpha) - K8s operator for Py torch jobs
- Horvod / MPI support(alpha)
v0.2.1-rc.0
Fixes
- Upgrade central-ui image to v0.2.1 which includes link to JupyterHub
- Update Jupyter notebooks to include fixes to make TFMA widgets work
- Add deployment scripts for GKE and vanilla K8s