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Experiment Tracking Setup

$29

MLflow and Weights & Biases configurations with experiment comparison, model registry, and artifact management.

📁 4 files🏷 v1.0.0
YAMLMarkdownJSONMLflow

📁 File Structure 4 files

experiment-tracking-setup/ ├── LICENSE ├── README.md └── configs/ ├── development.yaml └── production.yaml

📖 Documentation Preview README excerpt

Experiment Tracking Setup

MLflow and Weights & Biases configurations with experiment comparison, model registry, and artifact management.

Contents

  • configs/development.yaml
  • configs/production.yaml

Quick Start

1. Extract the ZIP archive

2. Review the README and documentation

3. Customize configuration files for your environment

4. Follow the setup guide for your specific use case

Requirements

  • Python 3.10+ (for Python scripts)
  • Relevant CLI tools for your platform
  • Access to your target environment

License

MIT License — see LICENSE file.

Support

Questions or issues? Email megafolder122122@hotmail.com

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Part of [Ml Engineer](https://inity13.github.io/ml-engineer-toolkit/)

📄 Code Sample .yaml preview

configs/development.yaml # Experiment Tracking Setup — Development Configuration environment: development log_level: DEBUG server: host: "127.0.0.1" port: 8080 workers: 1 timeout: 60 database: host: "localhost" port: 5432 name: "dev_db" pool_size: 5 cache: backend: redis url: "redis://localhost:6379" ttl: 60
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