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https://github.com/eoap/machine-learning-process

Machine Learning Process using the EO Application Package
https://github.com/eoap/machine-learning-process

common-workflow-language inference machine-learning training

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Machine Learning Process using the EO Application Package

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# Machine-learning-process
[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip)
[![stability-wip](https://img.shields.io/badge/stability-wip-lightgrey.svg)](https://github.com/mkenney/software-guides/blob/master/STABILITY-BADGES.md#work-in-progress)

Users should follow the documentation available at this [link](https://eoap.github.io/machine-learning-process/).

The documentation is organized into sections, each providing specific information about the project:

- **[Introduction](https://eoap.github.io/machine-learning-process/):** Offers a high-level overview of the project.
- **[How-to Guides](https://eoap.github.io/machine-learning-process/hands-on/):** Outlines the order in which modules should be executed.
- **Tutorials:** Walks through the steps required to run the application packages:
- **Application Packages:**
- [Run the Training Module using CWL Runner](https://eoap.github.io/machine-learning-process/training-cwl/)
- [Run the Inference Module using CWL Runner](https://eoap.github.io/machine-learning-process/inference-cwl/)
- [Describe a Trained Machine Learning Model](https://eoap.github.io/machine-learning-process/mlm/)
- **Reference Guides:** Provides in-depth documentation for the two application packages:
- [Training a Machine Learning Model](https://eoap.github.io/machine-learning-process/training-container/)
- [Running Inference on Real-World Data](https://eoap.github.io/machine-learning-process/inference-container/)
- **[Technical Insights and Learnings](https://eoap.github.io/machine-learning-process/insights/):** Shares the decisions and insights gained during development.