nessai-gw

Name	nessai-gw JSON
Version	0.1.0 JSON
	download
home_page	None
Summary	Gravitational-wave reparameterisations and proposals for nessai
upload_time	2025-02-04 21:43:36
maintainer	None
docs_url	None
author	None
requires_python	>=3.9
license	MIT
keywords	nested sampling normalizing flows machine learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # nessai-gw

Gravitational-wave specific proposals and reparameterisations for nessai

## Usage

Once installed, these proposals can be used in `nessai` by specifying the
`flow_proposal_class` keyword argument when using the standard nested sampler.

### Example

```python
fs = FlowSampler(
    model,
    ...,
    flow_proposal_class="gwflowproposal",
)
```

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "nessai-gw",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": null,
    "keywords": "nested sampling, normalizing flows, machine learning",
    "author": null,
    "author_email": "\"Michael J. Williams\" <michaeljw1@googlemail.com>",
    "download_url": "https://files.pythonhosted.org/packages/87/23/6f33daa4de49546a08e7862299bc8a47a1549f9f30bd9fd0c2a2abaf24c3/nessai_gw-0.1.0.tar.gz",
    "platform": null,
    "description": "# nessai-gw\n\nGravitational-wave specific proposals and reparameterisations for nessai\n\n## Usage\n\nOnce installed, these proposals can be used in `nessai` by specifying the\n`flow_proposal_class` keyword argument when using the standard nested sampler.\n\n### Example\n\n```python\nfs = FlowSampler(\n    model,\n    ...,\n    flow_proposal_class=\"gwflowproposal\",\n)\n```\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Gravitational-wave reparameterisations and proposals for nessai",
    "version": "0.1.0",
    "project_urls": {
        "Homepage": "https://github.com/mj-will/nessai-gw"
    },
    "split_keywords": [
        "nested sampling",
        " normalizing flows",
        " machine learning"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "1d8a634e55dc3831e192b274a5c0e8f3dd1f8f36beb83f55d3c962b66040db0e",
                "md5": "8e54a3a80512a358c38ae8772d1517a4",
                "sha256": "8f2c4f5670f22e9316f89cea61c5ffb2c74f278477e747b9922724d410f84129"
            },
            "downloads": -1,
            "filename": "nessai_gw-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "8e54a3a80512a358c38ae8772d1517a4",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 10380,
            "upload_time": "2025-02-04T21:43:34",
            "upload_time_iso_8601": "2025-02-04T21:43:34.690883Z",
            "url": "https://files.pythonhosted.org/packages/1d/8a/634e55dc3831e192b274a5c0e8f3dd1f8f36beb83f55d3c962b66040db0e/nessai_gw-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "87236f33daa4de49546a08e7862299bc8a47a1549f9f30bd9fd0c2a2abaf24c3",
                "md5": "7143ab8b0288353239762c1ac8a53eab",
                "sha256": "e2a4936867b9ff8d982fa1182651aaf8937dd275714d6b1a13c697c8f3b7e537"
            },
            "downloads": -1,
            "filename": "nessai_gw-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "7143ab8b0288353239762c1ac8a53eab",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 21070,
            "upload_time": "2025-02-04T21:43:36",
            "upload_time_iso_8601": "2025-02-04T21:43:36.678845Z",
            "url": "https://files.pythonhosted.org/packages/87/23/6f33daa4de49546a08e7862299bc8a47a1549f9f30bd9fd0c2a2abaf24c3/nessai_gw-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-02-04 21:43:36",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "mj-will",
    "github_project": "nessai-gw",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "nessai-gw"
}