ModelHub SDK
The ModelHub SDK is a comprehensive toolkit designed to streamline the creation, management, and deployment of machine learning pipelines. It integrates seamlessly with ModelHub, a robust platform for developing and deploying machine learning models. This SDK provides an intuitive API for interacting with various ModelHub components, including MLflow for experiment tracking and pipeline orchestration.
Key Features
- Modular Architecture: Organized into well-defined modules for core functionalities, client implementations, models, and utilities.
- MLflow Integration: Simplifies interaction with MLflow for tracking experiments, logging metrics, and managing model artifacts.
- Pipeline Management: Tools for creating, updating, and submitting machine learning pipelines efficiently.
- Utility Functions: Includes helper functions for common tasks such as logging setup and file encoding.
- Extensibility: Designed to be easily extendable for future enhancements and additional features.
Installation
To install the ModelHub SDK, run:
pip install autonomize-model-sdk