mirror of https://github.com/kubeflow/examples.git
74378a2990
* 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 |
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| MNIST_data | ||
| static | ||
| templates | ||
| Dockerfile | ||
| README.md | ||
| flask_server.py | ||
| mnist_client.py | ||
| mnist_client_test.py | ||
README.md
web-ui
The files in this folder define a web interface that can be used to interact with a TensorFlow server
- flask_server.py
- main server code. Handles incoming requests, and renders HTML from template
- mnist_client.py
- code to interact with TensorFlow model server
- takes in an image and server details, and returns the server's response
- Dockerfile
- builds a runnable container out of the files in this directory
This is not an officially supported Google product