| Name | PluginKernel JSON |
| Version |
0.0.3
JSON |
| download |
| home_page | |
| Summary | Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data |
| upload_time | 2023-08-12 23:18:21 |
| maintainer | |
| docs_url | None |
| author | Mehyar Mlaweh |
| requires_python | |
| license | MIT |
| keywords |
kernel
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
The Plugin library is a Python package designed to provide a simple and efficient way to perform kernel-based data analysis using the plugin algorithm. The plugin algorithm, proposed by P. Hall & Marron (1987) and extended by Park & Marron (1990), offers an iterative algorithm for the estimation of the optimal bandwidth parameter.
The plugin utilizes an iterative algorithm to find the optimal smoothing parameter. The principle starts with a random choice of J(f), and subsequent evaluations of J(f) are deduced from the first value. Several iterations are performed to converge towards the optimal bandwidth parameter.
Change Log
==========
0.0.1 (13/08/2023)
-------------------
- First Release
Raw data
{
"_id": null,
"home_page": "",
"name": "PluginKernel",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "Kernel",
"author": "Mehyar Mlaweh",
"author_email": "mehyarmlaweh0@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/e9/66/81f8d433dfdee4f27373492849384bd308b67e1a71155e4bf1a4368a544d/PluginKernel-0.0.3.tar.gz",
"platform": null,
"description": "The Plugin library is a Python package designed to provide a simple and efficient way to perform kernel-based data analysis using the plugin algorithm. The plugin algorithm, proposed by P. Hall & Marron (1987) and extended by Park & Marron (1990), offers an iterative algorithm for the estimation of the optimal bandwidth parameter.\r\nThe plugin utilizes an iterative algorithm to find the optimal smoothing parameter. The principle starts with a random choice of J(f), and subsequent evaluations of J(f) are deduced from the first value. Several iterations are performed to converge towards the optimal bandwidth parameter.\r\n\r\n\r\n\r\n\r\n\r\n\r\nChange Log\r\n==========\r\n\r\n0.0.1 (13/08/2023)\r\n-------------------\r\n- First Release\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data",
"version": "0.0.3",
"project_urls": null,
"split_keywords": [
"kernel"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "e96681f8d433dfdee4f27373492849384bd308b67e1a71155e4bf1a4368a544d",
"md5": "c5df3347524e4ecdb31e41d408a02600",
"sha256": "71d12556da99c9dd0808cc22bb60d1592773063c1d22cf6b0d455033fef873c4"
},
"downloads": -1,
"filename": "PluginKernel-0.0.3.tar.gz",
"has_sig": false,
"md5_digest": "c5df3347524e4ecdb31e41d408a02600",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3043,
"upload_time": "2023-08-12T23:18:21",
"upload_time_iso_8601": "2023-08-12T23:18:21.853806Z",
"url": "https://files.pythonhosted.org/packages/e9/66/81f8d433dfdee4f27373492849384bd308b67e1a71155e4bf1a4368a544d/PluginKernel-0.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-12 23:18:21",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "pluginkernel"
}
