semvec/pypi-packages huggingface dataset:
kedro-kubeflow 0.9.0
Kedro plugin with Kubeflow Pipelines support
License: Apache-2.0
Requires Python: <3.12,>=3.8
Keywords: kedro-plugin, kubeflow, machinelearning, mlops, kubeflow-pipelines, kedro

# Kedro Kubeflow Plugin

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## About

The main purpose of this plugin is to enable running kedro pipeline on Kubeflow Pipelines. It supports translation from 
Kedro pipeline DSL to [kfp](https://www.kubeflow.org/docs/pipelines/sdk/sdk-overview/) (pipelines SDK) and deployment to 
a running kubeflow cluster 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-kubeflow.readthedocs.io/

## Usage guide


```
Usage: kedro kubeflow [OPTIONS] COMMAND [ARGS]...
 
   Interact with Kubeflow Pipelines
 
 Options:
   -h, --help  Show this message and exit.
 
 Commands:
   compile          Translates Kedro pipeline into YAML file with Kubeflow pipeline definition
   init             Initializes configuration for the plugin
   list-pipelines   List deployed pipeline definitions
   run-once         Deploy pipeline as a single run within given experiment.
   schedule         Schedules recurring execution of latest version of the pipeline
   ui               Open Kubeflow Pipelines UI in new browser tab
   upload-pipeline  Uploads pipeline to Kubeflow server
```

## Configuration file

`kedro init` generates configuration file for the plugin, but users may want
to adjust it to match the run environment requirements: https://kedro-kubeflow.readthedocs.io/en/latest/source/02_installation/02_configuration.html