* Add e2e test for xgboost housing example
* fix typo
add ks apply
add [
modify example to trigger tests
add prediction test
add xgboost ks param
rename the job name without _
use - instead of _
libson params
rm redudent component
rename component in prow config
add ames-hoursing-env
use - for all names
use _ for params names
use xgboost_ames_accross
rename component name
shorten the name
change deploy-test command
change to xgboost-
namespace
init ks app
fix type
add confest.py
change path
change deploy command
change dep
change the query URL for seldon
add ks_app with seldon lib
update ks_app
use ks init only
rerun
change to kf-v0-4-n00 cluster
add ks_app
use ks-13
remove --namespace
use kubeflow as namespace
delete seldon deployment
simplify ks_app
retry on 503
fix typo
query 1285
move deletion after prediction
wait 10s
always retry till 10 mins
move check to retry
fix pylint
move clean-up to the delete template
* set up xgboost component
* check in ks component& run it directly
* change comments
* add comment on why use 'ks delete'
* add two modules to pylint whitelist
* ignore tf_operator/py
* disable pylint per line
* reorder import
* Add the web-ui for the mnist example
Copy the mnist web app from
https://github.com/googlecodelabs/kubeflow-introduction
* Update the web app
* Change "server-name" argument to "model-name" because this is what
is.
* Update the prediction client code; The prediction code was copied
from https://github.com/googlecodelabs/kubeflow-introduction and
that model used slightly different values for the input names
and outputs.
* Add a test for the mnist_client code; currently it needs to be run
manually.
* Fix the label selector for the mnist service so that it matches the
TFServing deployment.
* Delete the old copy of mnist_client.py; we will go with the copy in ewb-ui from https://github.com/googlecodelabs/kubeflow-introduction
* Delete model-deploy.yaml, model-train.yaml, and tf-user.yaml.
The K8s resources for training and deploying the model are now in ks_app.
* Fix tensorboard; tensorboard only partially works behind Ambassador. It seems like some requests don't work behind a reverse proxy.
* Fix lint.
Zhenghui Wang
Jeremy Lewi