Metadata-Version: 2.4
Name: pymaise-dev
Version: 2.0.1
Summary: Michigan Artificial Intelligance Standard Environment
Author: Patrick Myers
Author-email: myerspat@umich.edu
License: Apache 2.0
Project-URL: Documentation, https://pymaise.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/myerspat/pyMAISE
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.12,<3.13
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scikit-optimize>=0.10.1
Requires-Dist: tensorflow[and-cuda]>=2.18.0
Requires-Dist: tensorflow-probability[tf]>=0.25.0
Requires-Dist: keras-tuner
Requires-Dist: xarray>=2024.10.0
Requires-Dist: scikeras
Requires-Dist: matplotlib
Requires-Dist: tqdm
Requires-Dist: pydot
Requires-Dist: graphviz
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: docformatter; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx_rtd_theme; extra == "dev"
Requires-Dist: jupyter; extra == "dev"
Requires-Dist: sphinxcontrib.bibtex; extra == "dev"
Requires-Dist: chardet; extra == "dev"
Requires-Dist: nbsphinx; extra == "dev"
Requires-Dist: opencv-python; extra == "dev"
Requires-Dist: scipy; extra == "dev"
Provides-Extra: benchmarks
Requires-Dist: jupyter; extra == "benchmarks"
Requires-Dist: opencv-python; extra == "benchmarks"
Requires-Dist: scipy; extra == "benchmarks"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license
Dynamic: license-file
Dynamic: project-url
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# pyMAISE: Michigan Artificial Intelligence Standard Environment

[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Tests Status](https://github.com/myerspat/pyMAISE/actions/workflows/CI.yml/badge.svg)](https://github.com/myerspat/pyMAISE/actions/workflows)
[![Documentation Status](https://readthedocs.org/projects/pymaise/badge/?version=latest)](https://pymaise.readthedocs.io/en/latest/?badge=latest)

pyMAISE is an artificial intelligence (AI) and machine learning (ML) benchmarking library for nuclear reactor applications. It offers to streamline the building, tuning, and comparison of various ML models for user-provided data sets. Also, pyMAISE offers benchmarked data sets, written in Jupyter Notebooks, for AI/ML comparison. Current ML algorithm support includes

- linear regression,
- lasso regression,
- logistic regression,
- decision tree regression and classification,
- support vector regression and classification,
- random forest regression and classification,
- k-nearest neighbors regression and classification,
- sequential neural networks.

These models are built using [scikit-learn](https://scikit-learn.org/stable/index.html) and [Keras](https://keras.io). pyMAISE supports the following neural network layers:

- dense,
- dropout,
- LSTM,
- GRU,
- 1D, 2D, and 3D convolutional,
- 1D, 2D, and 3D max pooling,
- flatten,
- and reshape.

## Installation and Documentation

Refer to the [installation guide](https://pymaise.readthedocs.io/en/latest/installation.html) and [documentation](https://pymaise.readthedocs.io/en/latest/index.html) for help.

## Benchmark Jupyter Notebooks

You can find the pyMAISE benchmarks [here](https://pymaise.readthedocs.io/en/latest/benchmarks.html) or below.

- [MIT Reactor](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/mit_reactor.ipynb)
- [Reactor Physics](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/reactor_physics.ipynb)
- [Fuel Performance](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/fuel_performance.ipynb)
- [Heat Conduction](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/heat_conduction.ipynb)
- [BWR Micro Core](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/bwr.ipynb)
- [HTGR Micro-Core Quadrant Power](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/HTGR_microreactor.ipynb)
- [NEACRP C1 Rod Ejection Accident](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/rod_ejection.ipynb)
- [Critical Heat Flux (CHF) Prediction](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/chf.ipynb)
- [Binary Anomaly Detection](https://nbviewer.org/github/myerspat/pyMAISE/blob/develop/docs/source/benchmarks/anomaly.ipynb)
