juniper-ml 0.4.0

Juniper - Cascade Correlation Neural Network Research Platform

juniper-ml

Meta-package for the Juniper-ML Project, a Research Platform for investigating dynamic neural networks and novel learning algorithms. Prototype implementation uses Cascade Correlation neural networks.

Installation

Install all client libraries and the distributed worker:

pip install juniper-ml[all]

Or install selectively:

pip install juniper-ml[clients]  # All client libraries
pip install juniper-ml[worker]   # Distributed training worker

Ecosystem Compatibility

This meta-package is part of the Juniper ecosystem. Verified compatible service versions:

juniper-data	juniper-cascor	juniper-canopy	data-client	cascor-client	cascor-worker
0.4.x	0.3.x	0.2.x	>=0.3.1	>=0.1.0	>=0.1.0

For full-stack Docker deployment and integration tests, see juniper-deploy.

Packages

Package	Description	Install
juniper-data-client	HTTP client for the JuniperData dataset generation service	pip install juniper-data-client
juniper-cascor-client	HTTP/WebSocket client for the JuniperCascor neural network training service	pip install juniper-cascor-client
juniper-cascor-worker	Remote candidate training worker for distributed CasCor training	pip install juniper-cascor-worker

Extras

Extra	Packages Included
clients	juniper-data-client, juniper-cascor-client
worker	juniper-cascor-worker
all	All of the above

About Juniper

Juniper is an AI/ML research platform implementing the Cascade Correlation Neural Network algorithm (Fahlman & Lebiere, 1990). The platform includes:

• JuniperCascor - Cascade Correlation neural network training service
• JuniperData - Dataset generation and management service
• juniper-canopy - Real-time monitoring dashboard

License

MIT License - Copyright (c) 2024-2026 Paul Calnon