google-cloud-pipeline-components 2.6.0

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.

Google Cloud Pipeline Components

Google Cloud Pipeline Components (GCPC) provides predefined KFP components that can be run on Google Cloud Vertex AI Pipelines and other KFP-conformant pipeline execution backends. You can compose the components together into pipelines 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 API reference documentation.

Release details

For details about previous and upcoming releases, please see the release notes.

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 >= 3.7
• 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