semvec/pypi-packages huggingface dataset:
kedro-vertexai 1.0.0
Kedro plugin with GCP Vertex AI support
License: Apache-2.0
Requires Python: <3.13,>=3.10
Keywords: kedro-plugin, kedro, mlops, vertexai, googlecloudplatform, machinelearning

# Kedro Vertex AI Plugin

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## About

The main purpose of this plugin is to enable running kedro pipeline on Google Cloud Platform - Vertex AI Pipelines.
It supports translation from Kedro pipeline DSL to [kfp](https://www.kubeflow.org/docs/pipelines/sdk/sdk-overview/) 
(pipelines SDK) and deployment to Vertex AI service with some convenient commands.

The plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.   

## Documentation

For detailed documentation refer to https://kedro-vertexai.readthedocs.io/

## Usage guide 

```
Usage: kedro vertexai [OPTIONS] COMMAND [ARGS]...

  Interact with Google Cloud Platform :: Vertex AI Pipelines

Options:
  -e, --env TEXT  Environment to use.
  -h, --help      Show this message and exit.

Commands:
  compile         Translates Kedro pipeline into JSON file with Kubeflow...
  init            Initializes configuration for the plugin
  list-pipelines  List deployed pipeline definitions
  run-once        Deploy pipeline as a single run within given experiment.
  ui              Open VertexAI Pipelines UI in new browser tab
```

## Configuration file

`kedro init` generates configuration file for the plugin, but users may want to adjust it to match the run environment 
requirements. Check documentation for details - [kedro-vertexai.readthedocs.io](https://kedro-vertexai.readthedocs.io/en/latest/source/02_installation/02_configuration.html)