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-0.0.17.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 003c3580e2f4a9fcd7b6eba9b76a07aa25411a20ee7af6a7d27ec2cc2d38cc70 |
|
MD5 | 74a976aeb6703b9272aeeef77b8ee33d |
|
BLAKE2b-256 | 2f57a5ceb8e991d2aff9df1de1ca6e9335692cb826c0b1715b49f63de54a9949 |
Hashes for autonomize_model_sdk-0.0.17-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ee87eeb9111c1b499ecb5c1e59be06d2d1f564c90dfbb49adb56ff751771eac |
|
MD5 | 95fe90d14e1e17888736a66843974aca |
|
BLAKE2b-256 | ac895602269f8c55c1c4f85c13c52ef12c01f33e5f02fd170e4c03aa92e7f563 |