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Introduction to Vertex AI Pipelines with R

Environment Setup

To run the example notebooks in this repository, you will need a GCP project with billing enabled. Each notebook contains additional required setup steps

Vertex AI Workbench Notebook

To create a notebook instance:

  1. Navigate to Vertex Workbench User Managed Notebooks and create a python notebook instance (or use the cloud shell command below) 2.1. At the top of the screen, click "NEW NOTEBOOK"
    2.2. Use the first option for a notebook "Python 3"
    2.3. For the Region, select the first option "us-central1"
    2.4. Click "Create"
    gcloud notebooks instances create vertex-pipelines-r \
        --vm-image-project=deeplearning-platform-release \
        --vm-image-family=common-cpu-notebooks \
        --machine-type=n1-standard-8 \
        --location=us-central1-a 
  2. Once the notebook instance is created, clone this repository via the GUI or terminal:
    git clone https://github.com/justinjm/vertex-ai-pipelines-r-model-intro

Optional You can also work from the Cloud Shell Editor and click the button below to clone and open this repository in your own Cloud Shell instance:

Open in Cloud Shell

Contents

Acknowledgements

Original author and source of (most of) the code in this repository: Rajesh Thallum RajeshThallam/vertex-ai-labs

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