* Need to add kfmd to requirements.txt because the training code now uses
kfmd to log data.
* The Dockerfile didn't build with kaniko; it looks like a permission problem
trying to install python files into the conda directory. The problem appears
to be fixed by not switching to user root.
* Updte the base docker image to 1.13.
* Remove some references in the notebook to namespace because the fairing
code should now detect namespace automatically and the notebook will no longer
be running namespace kubeflow
* When running training in a K8s job; the code will now try to contact the
metadata server but this can fail if the ISTIO side car hasn't started yet.
So we need to wait for ISTIO to start; we do this by trying to contact
the metadata server for up to 3 minutes.
* Add a lot more explanation in the notebook to explain what is happening.
* Related to #619
* Update readme for xgboost-synthetic and remove outdated yaml file.
* Update the class name to be more general.
* Update readme.
* Set google_application_credentials in the notebook.
* Install fairing from master branch.
* Do not set credentials again.
* Update readme.
* Install required pip packages not included in the base package.
* Use Kaniko builder to build the base image first.
* Directly install packages from requirements.txt to be more flexible.
* Add xgboost-ames-housing demo from Kubecon EU 2019.
* fix links in the .ipynb in the xgboost-ames-housing demo
* update to the xgboost demo example from kubecon
- move example to its own directory
- remove unnecessarry files
- modify util and update notebook
* change the names related to kubecon and update readme
* use fairing instead of own fairing_util in the notebook
* remove fairing_util and move the remaining to util instead
* update synthetic data example as comments
- generalize yaml
- remove updating github procedures
- update readme
- rename files
* fix pylint.
* fix pylint.
Jin Chi He
Jeremy Lewi
Zhenghui Wang
Chun-Hsiang Wang
Chun-Hsiang Wang