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release 0.1.17: update yaml tag in samples #1176

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Apr 17, 2019
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release 0.1.17: update yaml tag in samples #1176

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4 changes: 2 additions & 2 deletions samples/arena-samples/README.md
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Expand Up @@ -7,13 +7,13 @@ There are a series of examples about how to build deeplearning models with [Aren
1. Install the arena

```
kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/master/samples/arena-samples/arena.yaml
kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/samples/arena-samples/arena.yaml
```

2. Add addtional RBAC role to service account `pipeline-runner`

```
kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/master/samples/arena-samples/arena_launcher_rbac.yaml
kubectl create -f https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/samples/arena-samples/arena_launcher_rbac.yaml
```

## Demos
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6 changes: 3 additions & 3 deletions samples/ibm-samples/ffdl-seldon/ffdl_pipeline.py
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Expand Up @@ -30,9 +30,9 @@ def ffdlPipeline(
):
"""A pipeline for end to end machine learning workflow."""

configuration_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/ibm-components/commons/config/component.yaml')
train_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/ibm-components/ffdl/train/component.yaml')
serve_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/ibm-components/ffdl/serve/component.yaml')
configuration_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/ibm-components/commons/config/component.yaml')
train_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/ibm-components/ffdl/train/component.yaml')
serve_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/ibm-components/ffdl/serve/component.yaml')

get_configuration = configuration_op(
token = GITHUB_TOKEN,
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8 changes: 4 additions & 4 deletions samples/kubeflow-tf/kubeflow-training-classification.py
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Expand Up @@ -18,10 +18,10 @@

from kfp import components

dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/dataflow/tft/component.yaml')
kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/kubeflow/dnntrainer/component.yaml')
dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/dataflow/predict/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/local/confusion_matrix/component.yaml')
dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/dataflow/tft/component.yaml')
kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/kubeflow/dnntrainer/component.yaml')
dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/dataflow/predict/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/local/confusion_matrix/component.yaml')

@dsl.pipeline(
name='Pipeline TFJob',
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6 changes: 3 additions & 3 deletions samples/resnet-cmle/resnet-train-pipeline.py
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Expand Up @@ -22,11 +22,11 @@
import os

dataflow_python_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/d2f5cc92a46012b9927209e2aaccab70961582dc/components/gcp/dataflow/launch_python/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/gcp/dataflow/launch_python/component.yaml')
cloudml_train_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/d2f5cc92a46012b9927209e2aaccab70961582dc/components/gcp/ml_engine/train/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/gcp/ml_engine/train/component.yaml')
cloudml_deploy_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/d2f5cc92a46012b9927209e2aaccab70961582dc/components/gcp/ml_engine/deploy/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/gcp/ml_engine/deploy/component.yaml')


def resnet_preprocess_op(project_id: 'GcpProject', output: 'GcsUri', staging_dir: 'GcsUri', train_csv: 'GcsUri[text/csv]',
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4 changes: 2 additions & 2 deletions samples/xgboost-spark/xgboost-training-cm.py
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Expand Up @@ -19,8 +19,8 @@

from kfp import components

confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/local/confusion_matrix/component.yaml')
roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/deb4d0ed41662055031832f4ba03e324dd609143/components/local/roc/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/local/confusion_matrix/component.yaml')
roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/785d474699cffb7463986b9abc4b1fbe03796cb6/components/local/roc/component.yaml')

# ================================================================
# The following classes should be provided by components provider.
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