Stage.learning_rate#

Stage.learning_rate: float#

User guide

The model in its equations, how to read the decomposition it emits, and the spectral-state coordinates that summarize it.

Read the guide

Examples

A synthetic chirp with a known answer, then the 10-year Treasury yield from FRED, as executed scripts with their figures.

View the examples

API reference

The specification, the result and the spectral state, with every path they carry and a runnable example on each.

View the API

Get ns-sdn

Releases are published to PyPI and announced on GitHub Releases. Pin the exact version in anything that must reproduce.

pip install ns-sdn==1.0.0

© 2026, Nikhil Sunder. Released under the MIT License. ns-sdn is an independent open-source project and is not affiliated with the Federal Reserve Bank of St. Louis; FRED® is a registered trademark of the Federal Reserve Bank of St. Louis.

ns-sdn 1.0.0 · built with Sphinx 9.1.0 and the PyData Sphinx Theme