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SDK for creating and managing machine learning pipelines.

Project description

# 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

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