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Updates for getting started page #3038

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merged 7 commits into from
Feb 13, 2020
Merged

Updates for getting started page #3038

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12bd999
link and text update based on bug bash
SinaChavoshi Feb 11, 2020
a65e131
Update links and notes
SinaChavoshi Feb 11, 2020
0b7bb84
update text and links
SinaChavoshi Feb 11, 2020
6ea6361
changing the sample pipeline name to TFX
SinaChavoshi Feb 11, 2020
d3c63ae
updated the pipeline doc link
SinaChavoshi Feb 12, 2020
061ce23
updating the TFX template link
SinaChavoshi Feb 12, 2020
7aa0d49
Merge branch 'master' into getting_started_page_UI
Bobgy Feb 13, 2020
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24 changes: 15 additions & 9 deletions frontend/src/pages/GettingStarted.tsx
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Expand Up @@ -28,32 +28,38 @@ const options = {
};

const PAGE_CONTENT_MD = `
<br/>

## Build your own pipeline

Build an end-to-end ML pipeline with TFX [Start Here](https://console.cloud.google.com/mlengine/notebooks/deploy-notebook?q=download_url%3Dhttps%253A%252F%252Fraw.githubusercontent.com%252Fkubeflow%252Fpipelines%252F0.1.40%252Fsamples%252Fcore%252Fparameterized_tfx_oss%252Ftaxi_pipeline_notebook.ipynb) (Alpha)
Build an end-to-end ML pipeline with TensorFlow Extended (TFX) [**Start Here!**](https://console.cloud.google.com/mlengine/notebooks/deploy-notebook?q=download_url%3Dhttps%253A%252F%252Fraw.githubusercontent.com%252Ftensorflow%252Ftfx%252Fmaster%252Fdocs%252Ftutorials%252Ftfx%252Ftemplate.ipynb) (Alpha)

## Demos and Tutorials
<br/>

## Demonstrations and Tutorials
This section contains demo and tutorial pipelines.
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**Demos** - Try an end-to-end demonstration pipeline.

* [TFX pipeline demo](#/pipelines) - A trainer that does end-to-end distributed training for XGBoost models. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/parameterized_tfx_oss)
* [XGBoost Pipeline](#/pipelines) - Example pipeline that does classification with model analysis based on a public taxi cab BigQuery dataset. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/xgboost_training_cm)
* [TFX pipeline demo](#/pipelines) - Classification pipeline with model analysis, based on a public BigQuery dataset of taxicab trips. Learn how to [get started with TFX pipeline!](https://console.cloud.google.com/mlengine/notebooks/deploy-notebook?q=download_url%3Dhttps%253A%252F%252Fraw.githubusercontent.com%252Fkubeflow%252Fpipelines%252F0.1.40%252Fsamples%252Fcore%252Fparameterized_tfx_oss%252Ftaxi_pipeline_notebook.ipynb)
* [XGBoost Pipeline demo](#/pipelines) - An example of end-to-end distributed training for an XGBoost model. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/xgboost_training_cm)

<br/>

**Tutorials** - Learn pipeline concepts by following a tutorial.

* [Data passing in python components](#/pipelines) - Shows how to pass data between python components. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/tutorials/Data%20passing%20in%20python%20components)
* [DSL - Control structures](#/pipelines) - Shows how to use conditional execution and exit handlers. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/tutorials/DSL%20-%20Control%20structures)

You can find additional tutorials and samples [here]()
Want to learn more? [Learn from sample and tutorial pipelines.](https://www.kubeflow.org/docs/pipelines/tutorials/)

<br/>

### Additional resources and documentation
* [TFX Landing page](https://www.tensorflow.org/tfx)
* [Hosted Pipeline documentation](https://cloud.google.com/ai-platform)
* [Troubleshooting guide](https://www.kubeflow.org/docs/pipelines/troubleshooting/)
* [Kubeflow Pipeline open source documentation](https://www.kubeflow.org/docs/pipelines/)
* [TFX documentation](https://www.tensorflow.org/tfx)
* [AI Platform Pipelines documentation](https://cloud.google.com/ai-platform/pipelines/docs/)
* [Troubleshooting guide](https://cloud.google.com/ai-platform/pipelines/docs/troubleshooting/)
* [Kubeflow Pipelines documentation](https://www.kubeflow.org/docs/pipelines/)
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