Skip to main content

AsteroGaP

https://img.shields.io/pypi/v/asterogap.svg

AsteroGaP (Asteroid Gaussian Processes) is a Bayesian-based Gaussian Process model that seeks to fit sparsely-sampled asteroid light curves.

By utilizing a more flexible Gaussian Process framework for modeling asteroid light curves, we are able to represent light curves in a periodic but non-sinusoidal manner.

Installation

At the command line (via pip):

$ pip install asterogap

At the command line (via GitHub):

$ git clone https://github.com/dirac-institute/asterogap.git

$ cd asterogap

$ python setup.py install

Release files for asterogap 0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for asterogap 0.1
File Size Uploaded
asterogap-0.1.tar.gz 43.3 kB Details

Release files / asterogap-0.1.tar.gz

Download URL asterogap-0.1.tar.gz
Size 43.3 kB
Tags Source
SHA-256 checksum
How to use checksums
0e03a192cc79e5c0105bc0baa332c57f567181105ef57a03cb9095b4fbe35b14
BLAKE2b-256 checksum
How to use checksums
0bbdd5f2af7f2b22b6c10da6c440f72e53403d5dca3e16f1a3d81982d5d0a1b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.10

Release history Release notifications | RSS feed

This release

0.1 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page