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PEA-PGNN v0.1.0

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@hunter137 hunter137 released this 12 Aug 10:11
· 14 commits to main since this release
v0.1.0
7e7c0d2

PEA-PGNN v0.1.0

Initial open-source release of the prior-anchored, structure-preserving neural prediction library.

Included

  • Prior-anchored PyTorch temporal model
  • B3-, GL2000-, ACI209-, and EC2-inspired concrete shrinkage utilities
  • Four normalized temporal candidate laws and convex mixing
  • NumPy-facing training, prediction, save, and load interface
  • Numerical audits for non-negativity, monotonicity, and boundedness
  • Documentation, synthetic example, citation metadata, and automated tests

Installation

Install the attached wheel:

python -m pip install pea_pgnn-0.1.0-py3-none-any.whl

Or install directly from GitHub:

python -m pip install "git+https://github.com/hunter137/pea-pgnn.git@v0.1.0"

The manuscript database and submission materials are intentionally not included.

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