pipelines/components/google-cloud

Google Cloud Pipeline Components

Google Cloud Pipeline Components provides an SDK and a set of components that lets you interact with Google Cloud services such as Vertex AI. You can use the predefined components in this repository to build your pipeline using the Kubeflow Pipelines SDK.

Documentation

User Documentation

Please see the Google_cloud_pipeline_components User Guide.

API documentation

Please see the Google_cloud_pipeline_components ReadTheDocs page.

Release Details

For detailed previous and upcoming changes, please check here

Examples

• Train an image classification model using Vertex AI AutoML.
• Train a classification model using tabular data and Vertex AI AutoML.
• Train a linear regression model using tabular data and Vertex AI AutoML.
• Train a text classification model using Vertex AI AutoML.
• Use the Google Cloud pipeline components to upload and deploy a model.

Installation

Requirements

• Python >= 3.6
• A Google Cloud project with the Vertex API enabled.
• An authenticated GCP account

Install latest release

Use the following command to install Google Cloud Pipeline Components from PyPI.

pip install -U google-cloud-pipeline-components

Install from source

Use the following commands to install Google Cloud Pipeline Components from GitHub.

git clone https://github.com/kubeflow/pipelines.git
pip install pipelines/components/google-cloud/.

Build the package from source and install

Use the following commands build Google Cloud Pipeline Components from the source code and install the package.

source_root=$(pwd)

git clone https://github.com/kubeflow/pipelines.git
cd pipelines/components/google-cloud
python setup.py bdist_wheel clean

WHEEL_FILE=$(find "$source_root/pipelines/components/google-cloud/dist/" -name "google_cloud_pipeline_components*.whl")
pip3 install --upgrade $WHEEL_FILE