MLy-Pipeline
All-Sky burst search framework to use machine learning models.
Installation
Create an virtual python environment with python version 3.8 to 3.10. Then install the hermes submodules that are used by the pipeline and currently are not on pypl
pip install "git+https://github.com/ML4GW/hermes.git@12e19f1#subdirectory=hermes/hermes.aeriel"
pip install "git+https://github.com/ML4GW/hermes.git@12e19f1#subdirectory=hermes/hermes.quiver"
pip install "git+https://github.com/ML4GW/hermes.git@12e19f1#subdirectory=hermes/hermes.stillwater"
Finally install the module
pip install mly-pipeline
Usage
For the full documentation and usesage examples please refer to here: https://ldas-jobs.ligo.caltech.edu/~vasileios.skliris/mly-documentation/html/index.html
Release files for mly-pipeline 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mly_pipeline-1.1.3.tar.gz | 87.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mly_pipeline-1.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 170.0 kB
Release files / mly_pipeline-1.1.3.tar.gz
| Download URL | mly_pipeline-1.1.3.tar.gz |
|---|---|
| Size | 87.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / mly_pipeline-1.1.3-py3-none-any.whl
| Download URL | mly_pipeline-1.1.3-py3-none-any.whl |
|---|---|
| Size | 82.3 kB |
| Tags | Python 3 |
|
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