Metadata-Version: 2.1
Name: celerite2
Version: 0.0.0
Summary: Fast and scalable Gaussian Processes in 1D
Home-page: https://celerite2.readthedocs.io
Author: Daniel Foreman-Mackey
Author-email: foreman.mackey@gmail.com
Maintainer: Daniel Foreman-Mackey
Maintainer-email: foreman.mackey@gmail.com
License: MIT
Description: # celerite2
        
        _celerite_ is an algorithm for fast and scalable Gaussian Process (GP)
        Regression in one dimension and this library, _celerite2_ is a re-write of the
        original [celerite project](https://celerite.readthedocs.io) to improve
        numerical stability and integration with various machine learning frameworks.
        This implementation includes interfaces in Python and C++, with full support for
        Theano/PyMC3 and preliminary interfaces in JAX, PyTorch, and TensorFlow.
        
        This documentation won't teach you the fundamentals of GP modeling but the best
        resource for learning about this is available for free online: [Rasmussen &
        Williams (2006)](http://www.gaussianprocess.org/gpml/). Similarly, the
        _celerite_ algorithm is restricted to a specific class of covariance functions
        (see [the original paper](https://arxiv.org/abs/1703.09710) for more information
        and [a recent generalization](https://arxiv.org/abs/2007.05799) for extensions
        to structured two-dimensional data). If you need scalable GPs with more general
        covariance functions, [GPyTorch](https://gpytorch.ai/) might be a good choice.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Provides-Extra: style
Provides-Extra: test
Provides-Extra: theano
Provides-Extra: torch
Provides-Extra: jax
Provides-Extra: release
Provides-Extra: docs
Provides-Extra: tutorials
Provides-Extra: dev
