mirror of https://github.com/kubeflow/examples.git
recomment using kustomize v2.0.3 for mnist (#584)
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@ -50,6 +50,8 @@ You also need the following command line tools:
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- [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/)
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- [kustomize](https://kustomize.io/)
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+**Note:** kustomize [v2.0.3](https://github.com/kubernetes-sigs/kustomize/releases/tag/v2.0.3) is recommented since the [problem](https://github.com/kubernetes-sigs/kustomize/issues/1295) in kustomize v2.1.0.
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To run the client at the end of the example, you must have [requirements.txt](requirements.txt) installed in your active python environment.
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```
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@ -20,7 +20,7 @@ local defaultParams = {
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// Which Kubeflow cluster to use for running TFJobs on.
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kfProject: "kubeflow-ci-deployment",
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kfZone: "us-east1-b",
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kfCluster: "kf-v0-5-n04",
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kfCluster: "kf-vmaster-n01",
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// The bucket where the model should be written
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// This needs to be writable by the GCP service account in the Kubeflow cluster (not the test cluster)
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