History

Googler ad85bad916 chore(components): Consolidate validation components in `preview.llm.rlhf_pipeline` PiperOrigin-RevId: 613366137		2024-03-06 15:48:12 -08:00
..
docs	chore(components): release GCPC SDK 2.10.0	2024-02-22 12:26:41 -08:00
google_cloud_pipeline_components	chore(components): Consolidate validation components in `preview.llm.rlhf_pipeline`	2024-03-06 15:48:12 -08:00
Dockerfile	chore(components): release GCPC SDK 2.10.0	2024-02-22 12:26:41 -08:00
LICENSE	test(components): INTERNAL	2023-12-14 15:54:17 -08:00
README.md	docs(components): point GCPC README at v2 reference documentation	2023-07-17 12:19:21 -07:00
RELEASE.md	feat(components): Implement the train time evaluation in reward model training. With the train time eval dataset available, the pipeline outputs the accuracy and cross entropy metrics to the log	2024-03-05 20:08:44 -08:00
cloudbuild.yaml	chore(components): Add public-image-gcpc-v2-scan tag for latest gcpc image	2023-09-12 16:08:03 -07:00
setup.py	chore(components): bump highest support KFP SDK version in GCPC to KFP SDK 2.7.0	2024-02-20 10:05:03 -08:00

README.md

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

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