Metadata-Version: 2.1
Name: mogp-emulator
Version: 0.4.0
Summary: Tool for Multi-Output Gaussian Process Emulators
Home-page: https://mogp-emulator.readthedocs.io/
Author: Alan Turing Institute Research Engineering Group
Author-email: edaub@turing.ac.uk
License: ['MIT']
Project-URL: Bug Tracker, https://github.com/alan-turing-institute/mogp-emulator/issues
Project-URL: Documentation, https://mogp-emulator.readthedocs.io/
Project-URL: Source Code, https://github.com/alan-turing-institute/mogp-emulator/
Description: # Multi-Output Gaussian Process Emulator
        
        `mogp_emulator` is a Python package for fitting Gaussian Process Emulators to computer simulation results.
        The code contains routines for fitting GP emulators to simulation results with a single or multiple target
        values, optimizing hyperparameter values, and making predictions on unseen data. The library also implements
        experimental design, dimension reduction, and calibration tools to enable modellers to understand complex
        computer simulations.
        
        [![Build Status](https://travis-ci.com/alan-turing-institute/mogp-emulator.svg?branch=master)](https://travis-ci.com/alan-turing-institute/mogp-emulator)
        [![codecov](https://codecov.io/gh/alan-turing-institute/mogp-emulator/branch/master/graph/badge.svg)](https://codecov.io/gh/alan-turing-institute/mogp-emulator)
        [![Documentation Status](https://readthedocs.org/projects/mogp-emulator/badge/?version=latest)](https://mogp-emulator.readthedocs.io/en/latest/?badge=latest)
        
        ## Installation
        
        `mogp_emulator` requires Python version 3.6 or later. The code and all of its dependencies can be
        installed via `pip`:
        
        ```bash
        pip install mogp-emulator
        ```
        
        Optionally, you may want to install some additional optional packages. `matplotlib` is useful for
        visualising some of the results of the benchmarks, and `patsy` is highly recommended for users that
        wish to parse R-style string formulas for specifying mean functions. These can be found in the
        [requirements-optional.txt](requirements-optional.txt) file in the main repository.
        
        ## Documentation
        
        The documentation is available at [readthedocs](https://mogp-emulator.readthedocs.io) for the current
        builds of the `master` and `devel` versions, plus any previous tagged releases. The documentation
        is available there in HTML, PDF, or e-Pub format.
        
        ## Getting Help
        
        This package is under active development by the Research Engineering Group at the Alan Turing Institute
        as part of several projects on Uncertainty Quantification. Questions about the code or any feedback on
        the usability and features that you would find useful can be sent to Eric Daub
        <[edaub@turing.ac.uk](mailto:edaub@turing.ac.uk)>. If you encounter any bugs or problems with installing
        the software, please see the Issues tab on the Github page, and if the issue is not present, create a new one.
        
        ## Contributing
        
        If you find this software useful, please consider taking part in its development! We aim to make
        this a welcoming, collaborative, open-source project where users of any background or skill levels feel that they
        can make valuable contributions. Please see the [Code of Conduct](CODE_OF_CONDUCT.md) for more on our
        expectations for participation in this project, and our [Contributing Guidelines](CONTRIBUTING.md)
        for how to get involved.
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