Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Scalable 1D Gaussian Processes

Project Description

celerite: Scalable 1D Gaussian Processes in C++, Python, and Julia

Read the documentation at: celerite.rtfd.io.

The Julia implementation is being developed in a different repository: ericagol/celerite.jl. Issues related to that implementation should be opened there.

If you make use of this code, please cite the following paper:

@article{celerite,
    author = {{Foreman-Mackey}, D. and {Agol}, E. and {Angus}, R. and
              {Ambikasaran}, S.},
     title = {Fast and scalable Gaussian process modeling
              with applications to astronomical time series},
      year = {2017},
   journal = {ArXiv},
       url = {https://arxiv.org/abs/1703.09710}
}
Release History

Release History

This version
History Node

0.2.1

History Node

0.2.0

History Node

0.1.3

History Node

0.1.2

History Node

0.1.1

History Node

0.1.1.dev0

History Node

0.1.0

History Node

0.1.0.dev0

History Node

0.0.1

History Node

0.0.1.dev2

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
celerite-0.2.1.tar.gz (1.3 MB) Copy SHA256 Checksum SHA256 Source Jul 20, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting