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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for autonomize_model_sdk-0.0.7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5d1078aed3c6239c1f4d5cfcbac517613f9895454201a90a6f47889e5c148f3 |
|
MD5 | 4e96df20260b8c1f9b9bd6d5a9e4c4bb |
|
BLAKE2b-256 | 43dc67b2e4e0e2e7f55ba429635e06177703e5074e7fb1d8302b85bbb089244f |
Hashes for autonomize_model_sdk-0.0.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9cff2aa959d7858fa7ead088f9b782cee89bda31734e7d55de0baf00243fb903 |
|
MD5 | 04a2bb5ab76bbbd3ab1411ef0bacb6fe |
|
BLAKE2b-256 | af894c535185128c82aa9bdc5d34862a54c5caeba225b74222a70a66bdd298ca |