Name | dqs JSON |
Version |
0.1
JSON |
| download |
home_page | https://github.com/IBM/dqs |
Summary | dqs: Neural network toolkit for distribution regression, quantile regression, and survival analysis |
upload_time | 2023-06-09 08:00:10 |
maintainer | Hiroki Yanagisawa |
docs_url | None |
author | Hiroki Yanagisawa |
requires_python | >=3.6 |
license | Apache 2.0 |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# Neural Network Toolkit for Distribution Regression, Quantile Regression, and Survival Analysis
Python library for distribution regression, quantile regression, and survival analysis.
This is a preliminary version, and the codes will be updated in the near future. Preliminary [documentation](https://ibm.github.io/dqs/) is also available.
# Citation
Please consider citing this paper.
H. Yanagisawa, "Proper Scoring Rules for Survival Analysis," to appear in ICML 2023, 2023.
Raw data
{
"_id": null,
"home_page": "https://github.com/IBM/dqs",
"name": "dqs",
"maintainer": "Hiroki Yanagisawa",
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": "yanagis@jp.ibm.com",
"keywords": "",
"author": "Hiroki Yanagisawa",
"author_email": "yanagis@jp.ibm.com",
"download_url": "https://files.pythonhosted.org/packages/0b/86/9e80452fd04abd707dc0bc835607f3ce59a402707d79526b0b94309969b9/dqs-0.1.tar.gz",
"platform": null,
"description": "# Neural Network Toolkit for Distribution Regression, Quantile Regression, and Survival Analysis\n\nPython library for distribution regression, quantile regression, and survival analysis.\n\nThis is a preliminary version, and the codes will be updated in the near future. Preliminary [documentation](https://ibm.github.io/dqs/) is also available.\n\n\n# Citation\n\nPlease consider citing this paper.\n\nH. Yanagisawa, \"Proper Scoring Rules for Survival Analysis,\" to appear in ICML 2023, 2023.\n\n\n",
"bugtrack_url": null,
"license": "Apache 2.0",
"summary": "dqs: Neural network toolkit for distribution regression, quantile regression, and survival analysis",
"version": "0.1",
"project_urls": {
"Download": "https://github.com/IBM/dqs",
"Homepage": "https://github.com/IBM/dqs"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "963aa95d111393d2785e80089f0e8788c9ccca25956148a0df53eef6e1b766c2",
"md5": "fff772e9686feb9cc56b60fef25c9cd7",
"sha256": "9ffa13bf96b830d5bb617b6befd301f3193d522d3a96a9c48fe69274fd320955"
},
"downloads": -1,
"filename": "dqs-0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "fff772e9686feb9cc56b60fef25c9cd7",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 12304,
"upload_time": "2023-06-09T08:00:08",
"upload_time_iso_8601": "2023-06-09T08:00:08.856997Z",
"url": "https://files.pythonhosted.org/packages/96/3a/a95d111393d2785e80089f0e8788c9ccca25956148a0df53eef6e1b766c2/dqs-0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0b869e80452fd04abd707dc0bc835607f3ce59a402707d79526b0b94309969b9",
"md5": "5b9242579b30389fcc057ffead902b02",
"sha256": "6b9ccda622abed8ec7f31b27f4cc7b7ee1ec7986374a642f9b2f1f9daf0e0a77"
},
"downloads": -1,
"filename": "dqs-0.1.tar.gz",
"has_sig": false,
"md5_digest": "5b9242579b30389fcc057ffead902b02",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 11550,
"upload_time": "2023-06-09T08:00:10",
"upload_time_iso_8601": "2023-06-09T08:00:10.866018Z",
"url": "https://files.pythonhosted.org/packages/0b/86/9e80452fd04abd707dc0bc835607f3ce59a402707d79526b0b94309969b9/dqs-0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-06-09 08:00:10",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "IBM",
"github_project": "dqs",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "dqs"
}