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-0.0.19.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | f63b0720d07840ae1c15a66d89a5150d1f8ca0c0a8d604b32ea40d8c97b4ddc3 |
|
MD5 | 0251e178cab7287fde06905587acd8cd |
|
BLAKE2b-256 | 42ab4ddb4243933fe322d1724546319678aec46ac987cd6d3a5322b4de36fc0a |
Hashes for autonomize_model_sdk-0.0.19-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c60a180649ed05d39d358f14000e645733ecccd09d9d6007e3b4908eb6abe712 |
|
MD5 | 7a618c99311510e7e24b0c6a536041e6 |
|
BLAKE2b-256 | 68720c692eed3628462851e4295752a64241262aeb173ad7741c84d841b03513 |