framework for Bayesian, Neural Network based supernova light-curve classification
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
supernnova-1.3.tar.gz
(82.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
supernnova-1.3-py3-none-any.whl
(109.8 kB
view details)
File details
Details for the file supernnova-1.3.tar.gz.
File metadata
- Download URL: supernnova-1.3.tar.gz
- Upload date:
- Size: 82.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
01ec42c7bf4aae5909cc2dd83926033f3da107e0e860eb68165c593bdd29cabd
|
|
| MD5 |
e6f8cc8a89855389437ccefb55b919df
|
|
| BLAKE2b-256 |
b0077e00a3022a5b909a7cdef24a7df124516120c00e843f0550dd75418702ca
|
File details
Details for the file supernnova-1.3-py3-none-any.whl.
File metadata
- Download URL: supernnova-1.3-py3-none-any.whl
- Upload date:
- Size: 109.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
59ce9d5307dd896ef2ca2f7f4142948003cdb3da26865a8e8792d82157d7cb3e
|
|
| MD5 |
fa7901ecf150606a15c00a607e1de005
|
|
| BLAKE2b-256 |
3f94a10815cb9e53f2ee34ff0b956365fca21e6f4772ea26e3b13b880328d325
|
