GradientRank

GradientRank is a real-time data processing engine that powers massive datasets with rapid machine learning model training capabilities.

GradientRank is built to be simple and practical, focusing on doing one thing well.

Why GradientRank?

• GradientRank is a real-time data
• processing engine that powers massive
• datasets with rapid machine learning

Key Features

• GradientRank is a real-time data
• processing engine that powers massive
• datasets with rapid machine learning

Technology Stack

• python
• Standard library, minimal dependencies
• unittest/pytest

Installation

1. Clone the repository: git clone https://github.com/fuad403273/GradientRank.git
2. cd GradientRank
3. Install in editable mode: pip install -e .

Configuration

Most behavior is controlled via command-line flags:

• --verbose: enable detailed logging
• --config <path>: point to a custom config file
• --dry-run: preview changes without applying them

Contributing

Pull requests and issue reports are both welcome. Please read the existing code style before submitting.

License

Released under the MIT License — see the LICENSE file.