aeryl-sdk 0.1.1

Aeryl SDK for chaos testing and error detection

Aeryl SDK

A Python SDK for Chaos Classification and Analysis.

Installation

pip install aeryl-sdk

Quick Start

from aeryl_sdk import AerylModel

# Create and train the model
model = AerylModel()
model.train('your_data.csv')

# Make predictions
predictions = model.predict('new_data.csv')

Development

Project Structure

aeryl_sdk/
├── src/
│   └── aeryl_sdk/
│       ├── __init__.py
│       ├── aeryl_model.py
│       ├── chaos_classifier.py
│       ├── core.py
│       ├── dataset.py
│       └── metrics.py
├── tests/
├── setup.py
├── pyproject.toml
└── README.md

Setup Development Environment

1. Clone the repository:

git clone https://github.com/aeryl-ai/aeryl_sdk.git
cd aeryl_sdk

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install development dependencies:

pip install -e .

Dependencies

• numpy>=1.26.0
• polars>=0.20.0
• scikit-learn>=1.4.0
• torch>=2.2.0
• tqdm>=4.66.0
• sentence-transformers>=2.5.0
• xgboost>=2.0.0

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please read our Contributing Guidelines for details on our code of conduct and the process for submitting pull requests.

Contact

For any questions or concerns, please contact us at [e-mail].