semvec/pypi-packages huggingface dataset:
kedro-azureml 1.0.0
Kedro plugin with Azure ML Pipelines support
License: Apache-2.0
Requires Python: <3.13,>=3.9
Keywords: kedro, mlops, azureml, machinelearning

# Kedro Azure ML Pipelines plugin

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<p align="center">
  <a href="https://getindata.com/solutions/ml-platform-machine-learning-reliable-explainable-feature-engineering"><img height="150" src="https://getindata.com/img/logo.svg"></a>
  <h3 align="center">We help companies turn their data into assets</h3>
</p>

## 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

<a href="https://bit.ly/kedroazureml">
    <img src="./docs/images/tutorial-video-yt.jpg" alt="Kedro Azure ML video tutorial" title="Kedro Azure ML video tutorial" />
</a>