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https://github.com/getindata/kedro-azureml
Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
https://github.com/getindata/kedro-azureml
azure-ml kedro kedro-plugin machinelearning mlops
Last synced: 28 days ago
JSON representation
Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
- Host: GitHub
- URL: https://github.com/getindata/kedro-azureml
- Owner: getindata
- License: apache-2.0
- Created: 2022-07-19T19:49:06.000Z (over 2 years ago)
- Default Branch: develop
- Last Pushed: 2024-05-23T10:15:20.000Z (7 months ago)
- Last Synced: 2024-05-23T10:27:10.527Z (7 months ago)
- Topics: azure-ml, kedro, kedro-plugin, machinelearning, mlops
- Language: Python
- Homepage: https://kedro-azureml.readthedocs.io
- Size: 3.96 MB
- Stars: 31
- Watchers: 11
- Forks: 15
- Open Issues: 32
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-kedro - kedro-azureml - Enables running a Kedro pipeline with Azure ML Pipelines service. ([Kedro plugins](https://docs.kedro.org/en/stable/extend_kedro/plugins.html))
README
# Kedro Azure ML Pipelines plugin
[![Python Version](https://img.shields.io/pypi/pyversions/kedro-azureml)](https://github.com/getindata/kedro-azureml)
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[![Downloads](https://pepy.tech/badge/kedro-azureml)](https://pepy.tech/project/kedro-azureml)[![Maintainability Rating](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-azureml&metric=sqale_rating)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-azureml)
[![Coverage](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-azureml&metric=coverage)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-azureml)
[![Documentation Status](https://readthedocs.org/projects/kedro-vertexai/badge/?version=latest)](https://kedro-azureml.readthedocs.io/en/latest/?badge=latest)We help companies turn their data into assets
## About
Following plugin enables running Kedro pipelines on Azure ML Pipelines service.We support 2 native Azure Machine Learning types of workflows:
* For Data Scientists: fast, iterative development with code upload
* For MLOps: stable, repeatable workflows with Docker## Documentation
For detailed documentation refer to https://kedro-azureml.readthedocs.io/
## Usage guide
```
Usage: kedro azureml [OPTIONS] COMMAND [ARGS]...Options:
-e, --env TEXT Environment to use.
-h, --help Show this message and exit.Commands:
compile Compiles the pipeline into YAML format
init Creates basic configuration for Kedro AzureML plugin
run Runs the specified pipeline in Azure ML Pipelines
```## Quickstart
Follow **quickstart** section on [kedro-azureml.readthedocs.io](https://kedro-azureml.readthedocs.io/) to get up to speed with plugin usage or watch the video below