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[Doc] Update permission requirement in README #2422

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merged 10 commits into from
Oct 29, 2019
Merged

[Doc] Update permission requirement in README #2422

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178fbcd
add tfx permission guide
Oct 17, 2019
51c7000
add xgboost guide
Oct 17, 2019
f3063c5
add a direct link to dataproc API
Oct 18, 2019
6731f4d
Merge branch 'master' of https://github.com/kubeflow/pipelines into f…
Oct 24, 2019
24d3718
Add tip
Oct 24, 2019
13eb78e
Add title for parity. Merge with master
Oct 25, 2019
73aa49a
Update README.md
Oct 28, 2019
7451fa5
Update and apply suggestions
Oct 28, 2019
a967c2c
Fix
Oct 28, 2019
89ad614
Update README.md
IronPan Oct 29, 2019
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5 changes: 4 additions & 1 deletion samples/contrib/parameterized_tfx_oss/README.md
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Expand Up @@ -14,8 +14,11 @@ then point the version tag in `tfx/version.py` to TFX's latest nightly build ima
`0.15.0dev` (e.g., `0.15.0dev20191007`, list of image available can be found [here](https://hub.docker.com/r/tensorflow/tfx/tags)).
Finally, run `python setup.py install` from `tfx/tfx`. After that, running
`chicago_taxi_pipeline_simple.py` compiles the TFX pipeline into KFP pipeline package.
This pipeline requires google storage permission to run.

## Permission
This pipeline requires google storage permission to run.
If KFP was deployed through K8S marketplace, please follow instructions in [the guideline](https://github.com/kubeflow/pipelines/blob/master/manifests/gcp_marketplace/guide.md#gcp-service-account-credentials)
to make sure the service account has `storage.admin` role.

## Caveats

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3 changes: 3 additions & 0 deletions samples/core/xgboost_training_cm/README.md
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Expand Up @@ -13,6 +13,9 @@ or not.
## Requirements

Preprocessing uses Google Cloud DataProc. Therefore, you must enable the [DataProc API](https://cloud.google.com/endpoints/docs/openapi/enable-api) for the given GCP project.
If KFP was deployed through K8S marketplace, please follow instructions in [the guideline](https://github.com/kubeflow/pipelines/blob/master/manifests/gcp_marketplace/guide.md#gcp-service-account-credentials)
to make sure the service account used has the role `storage.admin` and `dataproc.admin`. Also, please make sure [Cloud Dataproc API](https://pantheon.corp.google.com/apis/library/dataproc.googleapis.com?q=dataproc)
is enabled for the given GCP project.


## Compile
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