Metadata-Version: 2.4
Name: gpytorch-qr
Version: 0.4.0
Summary: Gaussian process quantile regression using GPyTorch
Author-email: Jisoo Song <jeesoo9595@snu.ac.kr>
License-Expression: MIT
Project-URL: homepage, https://pypi.python.org/pypi/gpytorch-qr/
Project-URL: source, https://github.com/JSS95/gpytorch-qr
Project-URL: documentation, https://gpytorch-qr.readthedocs.io
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: gpytorch>=1.10
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-doctestplus; extra == "test"
Requires-Dist: matplotlib; extra == "test"
Requires-Dist: nbconvert; extra == "test"
Requires-Dist: ipykernel; extra == "test"
Provides-Extra: doc
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: numpydoc; extra == "doc"
Requires-Dist: pydata_sphinx_theme; extra == "doc"
Requires-Dist: matplotlib; extra == "doc"
Requires-Dist: myst-nb; extra == "doc"
Requires-Dist: scikit-learn; extra == "doc"
Requires-Dist: pytest-doctestplus; extra == "doc"
Provides-Extra: dev
Requires-Dist: flake8; extra == "dev"
Requires-Dist: black[jupyter]; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: nbstripout; extra == "dev"
Requires-Dist: gpytorch-qr[doc,test]; extra == "dev"
Dynamic: license-file

# GPyTorch-QR

[![Supported Python Versions](https://img.shields.io/pypi/pyversions/gpytorch-qr.svg)](https://pypi.python.org/pypi/gpytorch-qr/)
[![PyPI Version](https://img.shields.io/pypi/v/gpytorch-qr.svg)](https://pypi.python.org/pypi/gpytorch-qr/)
[![License](https://img.shields.io/github/license/JSS95/gpytorch-qr)](https://github.com/JSS95/gpytorch-qr/blob/master/LICENSE)
[![CI](https://github.com/JSS95/gpytorch-qr/actions/workflows/ci.yml/badge.svg)](https://github.com/JSS95/gpytorch-qr/actions/workflows/ci.yml)
[![CD](https://github.com/JSS95/gpytorch-qr/actions/workflows/cd.yml/badge.svg)](https://github.com/JSS95/gpytorch-qr/actions/workflows/cd.yml)
[![Docs](https://readthedocs.org/projects/gpytorch-qr/badge/?version=latest)](https://gpytorch-qr.readthedocs.io/en/latest/?badge=latest)

Gaussian process quantile regression using GPyTorch.

## Installation

```
$ pip install gpytorch-qr
```

## Documentation

The manual can be found online:

> https://gpytorch-qr.readthedocs.io

If you want to build the document yourself, get the source code and install with `[doc]` dependency.
Then, go to `doc` directory and build the document:

```
$ pip install .[doc]
$ cd doc
$ make html
```

Document will be generated in `build/html` directory. Open `index.html` to see the central page.

## Developing

### Installation

For development features, you must install the package by `pip install -e .[dev]`.

### Re-building examples

Configure the local git filter (run once after cloning):

```
git config filter.nbstripout.clean "nbstripout --keep-output --keep-metadata-keys 'metadata.language_info'"
git config filter.nbstripout.smudge cat
git config filter.nbstripout.required true
```

Then build the examples:

```
jupyter nbconvert --to notebook --execute --inplace examples/*.ipynb
jupyter nbconvert --to notebook --execute --inplace examples/**/*.ipynb
```
