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https://github.com/getindata/kedro-vertexai

Kedro Plugin to support running workflows on GCP Vertex AI Pipelines
https://github.com/getindata/kedro-vertexai

googlecloudplatform kedro kedro-plugin machinelearning mlops vertexai

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Kedro Plugin to support running workflows on GCP Vertex AI Pipelines

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# 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)