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‎.github/README.md ‎README.md

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<div style="text-align: center">
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<img src="../mlflow-site/public/assets/mlflow-js-logo-whitebg.png" width=600px;"/></div>
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<img src="/mlflow-site/public/assets/mlflow-js-logo-whitebg.png" width=600px;"/></div>
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<br>
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## About
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[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](../LICENSE)
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![Release](https://img.shields.io/badge/Release-v1.0.0-426B20)
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[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](/LICENSE)
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![Release](https://img.shields.io/badge/Release-v1.0.1-426B20)
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![Build](https://img.shields.io/badge/Build-Passing-brightgreen.svg)
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![Coverage](https://img.shields.io/badge/Coverage-87%25-c7ea46.svg)
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[![Contributions](https://img.shields.io/badge/Contributions-Welcome-brightgreen.svg)](../CONTRIBUTING.md)
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[![Contributions](https://img.shields.io/badge/Contributions-Welcome-brightgreen.svg)](/CONTRIBUTING.md)
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<i>MLflow.js</i> is an open-source JavaScript library that helps developers track machine learning experiments and manage models with MLflow, providing functionalities for machine learning lifecycle in JavaScript/TypeScript environments.
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<br>
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## Features
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<i>MLflow.js</i> covers all REST API endpoints under MLflow's Tracking Server and Model Registry. Moreover, high-level abstractions have been developed to facilitate developers' common ML workflows. It provides some key advantages:
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<i>MLflow.js</i> covers all REST API endpoints under MLflow's Tracking Server and Model Registry. Moreover, high-level abstractions have been developed to facilitate developers' common ML workflows. It provides some key advantages:
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- Native JavaScript Integration: Seamlessly integrate MLflow capabilities within JavaScript codebases
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- Type Safety: Built with TypeScript for enhanced developer experience and code reliability
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This will launch the MLflow UI on your local machine at `http://localhost:5000`.
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### Development Setup
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For development environment setup instructions, please refer to our [Contributing Guide](../CONTRIBUTING.md).
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For development environment setup instructions, please refer to our [Contributing Guide](/CONTRIBUTING.md).
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<br>
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createExperiment();
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```
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<br>
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## Resources
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- [Example Repository](https://github.com/oslabs-beta/mlflow-js/tree/dev/mlflow/examples) - Practical examples demonstrating MLflow.js’s functionality
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- [Example Repository](https://github.com/oslabs-beta/mlflow-js/tree/dev/mlflow/examples) - Practical examples demonstrating <i>MLflow.js</i>'s functionality
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- [Quick Tutorials](https://www.mlflow-js.org/) - Video walkthrough of the example code with MLflow UI
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- [Read our Medium Article](link) - Overview on why we built MLflow.js and how it enhances ML workflows in JavaScript environments
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- [Read our Medium Article](link) - Overview on why we built <i>MLflow.js</i> and how it enhances ML workflows in JavaScript environments
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<br>
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## Contributing
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We welcome contributions to <i>MLflow.js</i>! Please see our [Contributing Guide](../CONTRIBUTING.md) for more details on how to get started.
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We welcome contributions to <i>MLflow.js</i>! Please see our [Contributing Guide](/CONTRIBUTING.md) for more details on how to get started.
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## License
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[MIT License](../LICENSE)
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[MIT License](/LICENSE)
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<br>
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| Kyler Chiago | [![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github)](https://github.com/Kyler-Chiago) | [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kyler-chiago/) |
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| Austin Fraser | [![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github)](https://github.com/austinbfraser) | [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](http://www.linkedin.com/in/austin-fraser) |
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| Stephany Ho | [![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github)](https://github.com/seneyu) | [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/stephanyho/) |
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| Winston Ludlam | [![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github)](https://github.com/winjolu/) | [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/wjludlam/) |
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| Winston Ludlam | [![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github)](https://github.com/winjolu/) | [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/wjludlam/) |

‎mlflow-site/README.md

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This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
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## Getting Started
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First, run the development server:
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bun dev
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```
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Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
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You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
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This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
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## Learn More
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To learn more about Next.js, take a look at the following resources:
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- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
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- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
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You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
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## Deploy on Vercel
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The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
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Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
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Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.

‎mlflow/LICENSE

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MIT License
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Copyright (c) 2024 Open Source Labs Beta
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎mlflow/package-lock.json

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‎mlflow/package.json

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{
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"name": "mlflow-js",
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"version": "1.0.0",
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"version": "1.0.1",
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"description": "JavaScript library for MLflow",
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"homepage": "https://www.mlflow-js.org/",
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"repository": {

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