semvec/pypi-packages huggingface dataset:
kedro-sagemaker 0.4.0
Kedro plugin with AWS SageMaker Pipelines support
License: Apache-2.0
Requires Python: <4.0,>=3.9
Keywords: kedro, sagemaker, aws, mlops

# Kedro SageMaker 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
This plugin enables you to run Kedro projects on Amazon SageMaker. Simply install the package and use the provided `kedro sagemaker` commands to build, push, and run your project on SageMaker.

<img src="./docs/images/sagemaker_running_pipeline.gif" alt="Kedro SageMaker plugin" title="Kedro SageMaker plugin" />


## Documentation 

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

## Usage guide

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

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

Commands:
  compile  Compiles the pipeline to a JSON file
  init     Creates basic configuration for Kedro SageMaker plugin
  run      Runs the pipeline on SageMaker Pipelines
```

## Quickstart
Follow **quickstart** section on [kedro-sagemaker.readthedocs.io](https://kedro-sagemaker.readthedocs.io/) to see how to run your Kedro project on AWS SageMaker or watch the video below:

<a href="https://www.youtube.com/watch?v=yXIdz4kNMc8">
    <img src="./docs/images/kedro-sagemaker-video-tutorial.jpg" alt="Kedro SageMaker video tutorial" title="Kedro SageMaker video tutorial" />
</a>