estimagic

Name	estimagic JSON
Version	0.5.1 JSON
	download
home_page	None
Summary	Tools to solve difficult numerical optimization problems.
upload_time	2024-11-13 17:11:56
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	MIT
keywords	derivative free optimization estimation extremum estimation finite differences global optimization inference maximum likelihood method of simulated moments nonlinear optimization numerical differentiation optimization parallel optimization statistics
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # estimagic (renamed to optimagic)

The project has been renamed to optimagic. The new repository is at
https://github.com/optimagic-dev/optimagic/. This repository is used temporarily to
release optimagic under the name estimagic.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "estimagic",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": "Janos Gabler <janos.gabler@gmail.com>, Tim Mensinger <mensingertim@gmail.com>",
    "keywords": "derivative free optimization, estimation, extremum estimation, finite differences, global optimization, inference, maximum likelihood, method of simulated moments, nonlinear optimization, numerical differentiation, optimization, parallel optimization, statistics",
    "author": null,
    "author_email": "Janos Gabler <janos.gabler@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/dd/64/a18e537b23f9468b6305817733f89a5960f97158c2c290cd18e8589d7aaf/estimagic-0.5.1.tar.gz",
    "platform": null,
    "description": "# estimagic (renamed to optimagic)\n\nThe project has been renamed to optimagic. The new repository is at\nhttps://github.com/optimagic-dev/optimagic/. This repository is used temporarily to\nrelease optimagic under the name estimagic.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Tools to solve difficult numerical optimization problems.",
    "version": "0.5.1",
    "project_urls": {
        "Github": "https://github.com/optimagic-dev/optimagic",
        "Repository": "https://github.com/optimagic-dev/optimagic",
        "Tracker": "https://github.com/optimagic-dev/optimagic/issues"
    },
    "split_keywords": [
        "derivative free optimization",
        " estimation",
        " extremum estimation",
        " finite differences",
        " global optimization",
        " inference",
        " maximum likelihood",
        " method of simulated moments",
        " nonlinear optimization",
        " numerical differentiation",
        " optimization",
        " parallel optimization",
        " statistics"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8d2df61c918d9edc2127068f0d5ad4604fedd9bfd393f464219090f3279c73f7",
                "md5": "f5977014f835fbb8cf795a1b4b921b6f",
                "sha256": "5676ff8f0289f731bbed8ab064eae21def059c82c9f9306a07120d556fcde46c"
            },
            "downloads": -1,
            "filename": "estimagic-0.5.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f5977014f835fbb8cf795a1b4b921b6f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 392359,
            "upload_time": "2024-11-13T17:11:54",
            "upload_time_iso_8601": "2024-11-13T17:11:54.976608Z",
            "url": "https://files.pythonhosted.org/packages/8d/2d/f61c918d9edc2127068f0d5ad4604fedd9bfd393f464219090f3279c73f7/estimagic-0.5.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "dd64a18e537b23f9468b6305817733f89a5960f97158c2c290cd18e8589d7aaf",
                "md5": "fd185957462cbea36a6cf0d3429dce4e",
                "sha256": "669afce9008b21e7d4ccfb28e257be347f75a83c84c2e2565d0f28367d50d141"
            },
            "downloads": -1,
            "filename": "estimagic-0.5.1.tar.gz",
            "has_sig": false,
            "md5_digest": "fd185957462cbea36a6cf0d3429dce4e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 337287,
            "upload_time": "2024-11-13T17:11:56",
            "upload_time_iso_8601": "2024-11-13T17:11:56.904697Z",
            "url": "https://files.pythonhosted.org/packages/dd/64/a18e537b23f9468b6305817733f89a5960f97158c2c290cd18e8589d7aaf/estimagic-0.5.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-13 17:11:56",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "optimagic-dev",
    "github_project": "optimagic",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "estimagic"
}