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-0.1.1.dev4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | f33e6a6959620c19047575696b8a052420e96045ddff4d9342a2948ee9064082 |
|
MD5 | 94b2cf8384700b7745896074fef3b878 |
|
BLAKE2b-256 | a7781d00033e88c01a7ccd856ad478d2936e927d9a5fb1c8752cc4dbe6949b8a |
Hashes for autonomize_model_sdk-0.1.1.dev4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 82cedfdfe70d6459eb2936b8cc205525de994757213dedaa2a963840666d8b7b |
|
MD5 | fca36d3f7fecac2f0b3bb4d822b76ccc |
|
BLAKE2b-256 | 6802efb8b5592a00c343d9498efdd8332eda657feadf619d7c49c1b629125284 |