SCoPe: ZTF Source Classification Project
scope-ml uses machine learning to classify light curves from the Zwicky Transient Facility (ZTF). The documentation is hosted at https://zwickytransientfacility.github.io/scope-docs/. To generate HTML files of the documentation locally, clone the repository and run scope-doc after installing.
Funding
We gratefully acknowledge previous and current support from the U.S. National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute for Accelerated AI Algorithms for Data-Driven Discovery (A3D3) under Cooperative Agreement No. PHY-2117997.
Metadata
Release files for scope-ml 0.9.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scope_ml-0.9.5.tar.gz | 151.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scope_ml-0.9.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 324.0 kB
Release files / scope_ml-0.9.5.tar.gz
| Download URL | scope_ml-0.9.5.tar.gz |
|---|---|
| Size | 151.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.11.7 Linux/6.5.0-1017-azure
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Release files / scope_ml-0.9.5-py3-none-any.whl
| Download URL | scope_ml-0.9.5-py3-none-any.whl |
|---|---|
| Size | 172.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.11.7 Linux/6.5.0-1017-azure
|