A machine learning pipeline for detecting microlensing events using tree-based models.
Metadata
Release files for MicroLIA 2.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| microlia-2.8.1.tar.gz | 29.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| microlia-2.8.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.8 MB
Release files / microlia-2.8.1.tar.gz
| Download URL | microlia-2.8.1.tar.gz |
|---|---|
| Size | 29.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a227f3c81c2d0938644ff67b1d1f5c29cabaa24f751cb602130e4d81c3d7955
|
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BLAKE2b-256 checksum How to use checksums |
53f0ec19a784e73a67bc0aafdfd4842825e1b9151bb809f98e84ad42bcb7fa84
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.11
|
Release files / microlia-2.8.1-py3-none-any.whl
| Download URL | microlia-2.8.1-py3-none-any.whl |
|---|---|
| Size | 29.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eaed272b552c3bb028ff3cff026386c315136bc99eeabf4b36fa424b7bac49d0
|
|
BLAKE2b-256 checksum How to use checksums |
2b6b12ffe30272017bd3f9c293d9f3fe307df1dea9b414ae30a5921efd993af5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.11
|