| Name | mly-pipeline JSON |
| Version |
1.0.4
JSON |
| download |
| home_page | None |
| Summary | Search pipeline to run online and offline GW searches with mly package. |
| upload_time | 2024-04-11 10:19:29 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | None |
| keywords |
ml
gravitational waves
bursts
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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
```bash
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
```bash
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
Raw data
{
"_id": null,
"home_page": null,
"name": "mly-pipeline",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": null,
"keywords": "ml, gravitational waves, bursts",
"author": null,
"author_email": "Vasileios SKliris <sklirisv@cardiff.ac.uk>",
"download_url": "https://files.pythonhosted.org/packages/9b/c0/75b0de1e2ab2d406ca61816a883fd71f7fbd309c888802b1839ee68e9282/mly_pipeline-1.0.4.tar.gz",
"platform": null,
"description": "# MLy-Pipeline\n\nAll-Sky burst search framework to use machine learning models.\n\n## Installation\n\nCreate an virtual python environment with python version 3.8 to 3.10. \nThen install the hermes submodules that are used by the pipeline and currently are not on pypl\n```bash\npip install \"git+https://github.com/ML4GW/hermes.git@12e19f1#subdirectory=hermes/hermes.aeriel\"\npip install \"git+https://github.com/ML4GW/hermes.git@12e19f1#subdirectory=hermes/hermes.quiver\"\npip install \"git+https://github.com/ML4GW/hermes.git@12e19f1#subdirectory=hermes/hermes.stillwater\"\n```\n\nFinally install the module\n```bash\npip install mly-pipeline\n```\n\n## Usage\n\nFor the full documentation and usesage examples please refer to here: https://ldas-jobs.ligo.caltech.edu/~vasileios.skliris/mly-documentation/html/index.html\n",
"bugtrack_url": null,
"license": null,
"summary": "Search pipeline to run online and offline GW searches with mly package.",
"version": "1.0.4",
"project_urls": null,
"split_keywords": [
"ml",
" gravitational waves",
" bursts"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "e6a373113f559ac00924c0214ed760401789ba6d46149e27359adc57e809d3eb",
"md5": "4602937666c93a3c9abdb4b4a81c4484",
"sha256": "5d4625cc92f102b3d196357cc8df414e6f883218129903d0fd68df367b9505b6"
},
"downloads": -1,
"filename": "mly_pipeline-1.0.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "4602937666c93a3c9abdb4b4a81c4484",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 80243,
"upload_time": "2024-04-11T10:19:27",
"upload_time_iso_8601": "2024-04-11T10:19:27.030748Z",
"url": "https://files.pythonhosted.org/packages/e6/a3/73113f559ac00924c0214ed760401789ba6d46149e27359adc57e809d3eb/mly_pipeline-1.0.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "9bc075b0de1e2ab2d406ca61816a883fd71f7fbd309c888802b1839ee68e9282",
"md5": "47bd2ba4cda30ceb1fba46c6d733b93c",
"sha256": "e0c9391de4539c039fb8c40fd7fa1069eeb980fe47a6d51647be03eea82ab9fc"
},
"downloads": -1,
"filename": "mly_pipeline-1.0.4.tar.gz",
"has_sig": false,
"md5_digest": "47bd2ba4cda30ceb1fba46c6d733b93c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 85176,
"upload_time": "2024-04-11T10:19:29",
"upload_time_iso_8601": "2024-04-11T10:19:29.050699Z",
"url": "https://files.pythonhosted.org/packages/9b/c0/75b0de1e2ab2d406ca61816a883fd71f7fbd309c888802b1839ee68e9282/mly_pipeline-1.0.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-11 10:19:29",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "mly-pipeline"
}
