semvec/pypi-packages huggingface dataset:
pybass-emu 0.8.1
Bayesian Adaptive Spline Surfaces
Requires Python: >=3.9
Keywords: emulator

# pyBASS
[![Build Status][build-status-img]](https://github.com/lanl/pyBASS/actions)
[![PyPI Version][pypi-version]](https://pypi.org/project/pybass-emu/)
[![PyPI Downloads][monthly-downloads]](https://pypistats.org/packages/pybass-emu)

A python implementation of Bayesian adaptive spline surfaces (BASS).  Similar
to Bayesian multivariate adaptive regression splines (Bayesian MARS) introduced
in Denison _et al_. (1998).

## Installation
```bash
# pip
pip install pybass-emu

# uv
uv add pybass-emu
```

## Examples
* [Example 1][ex1] - univariate response
* [Example 2][ex2] - multivariate/functional response


## References
1. Friedman, J.H., 1991. Multivariate adaptive regression splines. _The annals of statistics_, pp.1-67.

2. Denison, D.G., Mallick, B.K. and Smith, A.F., 1998. Bayesian MARS. _Statistics and Computing_, 8(4), pp.337-346.

3. Francom, D., Sansó, B., Kupresanin, A. and Johannesson, G., 2018. Sensitivity analysis and emulation for functional data using Bayesian adaptive splines. _Statistica Sinica_, pp.791-816.

4. Francom, D., Sansó, B., Bulaevskaya, V., Lucas, D. and Simpson, M., 2019. Inferring atmospheric release characteristics in a large computer experiment using Bayesian adaptive splines. _Journal of the American Statistical Association_, 114(528), pp.1450-1465.

5. Francom, D. and Sansó, B., 2020. BASS: An R package for fitting and performing sensitivity analysis of Bayesian adaptive spline surfaces. _Journal of Statistical Software_, 94(1), pp.1-36.



************

Copyright 2020. Triad National Security, LLC. All rights reserved.
This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos
National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S.
Department of Energy/National Nuclear Security Administration. All rights in the program are
reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear
Security Administration. The Government is granted for itself and others acting on its behalf a
nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare
derivative works, distribute copies to the public, perform publicly and display publicly, and to permit
others to do so.

LANL software release C19112

Author: Devin Francom

[build-status-img]: https://github.com/lanl/pyBASS/workflows/Build/badge.svg
[pypi-version]: https://img.shields.io/pypi/v/pybass-emu?style=flat-square&label=PyPI
[monthly-downloads]: https://img.shields.io/pypi/dm/pybass-emu?style=flat-square&label=Downloads&color=blue
[ex1]: https://github.com/lanl/pyBASS/blob/main/examples/ex1.ipynb
[ex2]: https://github.com/lanl/pyBASS/blob/main/examples/ex2.ipynb
mkdocs-terminal 4.8.0
Terminal.css theme for MkDocs
Requires Python: >=3.7
Keywords: documentation, mkdocs, theme

# mkdocs-terminal
Terminal for MkDocs is a third party theme that brings the [Terminal.css](https://github.com/Gioni06/terminal.css) stylesheet to MkDocs documentation sites.  

<img src="https://raw.githubusercontent.com/ntno/mkdocs-terminal/main/mkdocs-terminal.png" alt="Terminal for MkDocs theme preview" ><br>

In addition to simple, monospace styling, Terminal for MkDocs also provides:

- a built-in Search modal
- color palette options
- revision date display
- per-page or site-wide component hiding
- a flexible grid for displaying inline images
- section index pages
- and more

## Quick start

terminal.css theme for MkDocs can be installed with `pip`:

```bash
pip install mkdocs-terminal
```

Add the following lines to `mkdocs.yml`:

```yaml
theme:
  name: terminal
```

## Documentation
[mkdocs-terminal docs](https://ntno.github.io/mkdocs-terminal/)

## Developer Info
[Terminal for MkDocs on GitHub](https://github.com/ntno/mkdocs-terminal)  
[Terminal for MkDocs on PyPI](https://pypi.org/project/mkdocs-terminal)  
[Theme Development README](DEVELOPER_README.md)  


### License

**MIT License**

Copyright (c) 2023-2026 Natan Organick

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.