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bump to v1.0.3 (#17)
* bump to v1.0.3 * update readme * fix readme
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pipelines/README.md

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# Kubeflow Pipelines
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[![1.0.0](https://img.shields.io/badge/kubeflow--pipelines-1.0.0-blue.svg)](https://github.com/kubeflow/pipelines/tree/1.0.0)
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[![1.0.3](https://img.shields.io/badge/kubeflow--pipelines-1.0.3-blue.svg)](https://github.com/kubeflow/pipelines/tree/1.0.3)
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[Kubeflow pipelines (kfp)](https://github.com/kubeflow/pipelines) are reusable end-to-end ML workflows.
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As of release `1.0.0`, kfp comprises of the following components:
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As of release `1.0.3`, kfp comprises of the following components:
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| service | description |
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| ---------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |

pipelines/base/aws-configurations-patch.yaml

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{
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namespace: $(kfp-namespace),
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executorImage: gcr.io/ml-pipeline/argoexec:v2.7.5-license-compliance,
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containerRuntimeExecutor: $(kfp-container-runtime-executor),
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artifactRepository:
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{
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archiveLogs: true,

pipelines/base/kustomization.yaml

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kind: Kustomization
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bases:
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- github.com/kubeflow/pipelines/manifests/kustomize/base?ref=1.0.0
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- github.com/kubeflow/pipelines/manifests/kustomize/base?ref=1.0.3
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resources:
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# use a custom podTemplate definition for tensorboard viewer

pipelines/cluster-scoped-resources/kustomization.yaml

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kind: Kustomization
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bases:
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- github.com/kubeflow/pipelines/manifests/kustomize/cluster-scoped-resources?ref=1.0.0
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- github.com/kubeflow/pipelines/manifests/kustomize/cluster-scoped-resources?ref=1.0.3

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