This SDK enables a set of First Party (Google owned) pipeline components that allow users to take their experience from Vertex AI SDK and other Google Cloud services and create a corresponding pipeline using KFP or Managed Pipelines.
Project description
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
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
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