Name | tpfeat JSON |
Version |
0.0.1
JSON |
| download |
home_page | None |
Summary | A flexible and modular time-point feature extraction toolkit for sensor time series. |
upload_time | 2025-07-19 05:34:49 |
maintainer | None |
docs_url | None |
author | kris.wang |
requires_python | <4.0,>=3.10 |
license | MIT |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# tpfeat
**tpfeat** is a lightweight, modular framework for extracting custom features from sliding time windows, with full support for multi-axis sensor data, temporal interactions, and integration with TSFEL/tsfresh.
## Features
- Flexible windowing in all directions
- Modular axis, time, and feature operations
- Time-point interaction features
- Designed for multi-axis sensor data
## Installation
Install from source using pip:
```bash
pip install tpfeat
```
Raw data
{
"_id": null,
"home_page": null,
"name": "tpfeat",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.10",
"maintainer_email": null,
"keywords": null,
"author": "kris.wang",
"author_email": "wenhom.wang@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/9e/12/eeda5f12ab69860742cd0a07482633dc5456552c42c0dc024f7c3b228fc4/tpfeat-0.0.1.tar.gz",
"platform": null,
"description": "# tpfeat\n\n**tpfeat** is a lightweight, modular framework for extracting custom features from sliding time windows, with full support for multi-axis sensor data, temporal interactions, and integration with TSFEL/tsfresh.\n\n## Features\n\n- Flexible windowing in all directions\n- Modular axis, time, and feature operations\n- Time-point interaction features\n- Designed for multi-axis sensor data\n\n## Installation\n\nInstall from source using pip:\n\n```bash\npip install tpfeat\n```\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A flexible and modular time-point feature extraction toolkit for sensor time series.",
"version": "0.0.1",
"project_urls": null,
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "d9b366a31d92a549bb093bb0a51f2879e941cc8be61515c90e89ffe1744abc43",
"md5": "a90214822b0855b306450626a0daee24",
"sha256": "f23440354cb202b7d0448746fb75650e316aa17dc993335aed88f586cca19fa3"
},
"downloads": -1,
"filename": "tpfeat-0.0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a90214822b0855b306450626a0daee24",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.10",
"size": 2111,
"upload_time": "2025-07-19T05:34:48",
"upload_time_iso_8601": "2025-07-19T05:34:48.527340Z",
"url": "https://files.pythonhosted.org/packages/d9/b3/66a31d92a549bb093bb0a51f2879e941cc8be61515c90e89ffe1744abc43/tpfeat-0.0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "9e12eeda5f12ab69860742cd0a07482633dc5456552c42c0dc024f7c3b228fc4",
"md5": "553aa2a8d6687dac33e137d492d94013",
"sha256": "2c735b904b360c4c594a3b6f98f08fadc267243be9bb891dbd34c35337896cc6"
},
"downloads": -1,
"filename": "tpfeat-0.0.1.tar.gz",
"has_sig": false,
"md5_digest": "553aa2a8d6687dac33e137d492d94013",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.10",
"size": 2524,
"upload_time": "2025-07-19T05:34:49",
"upload_time_iso_8601": "2025-07-19T05:34:49.600968Z",
"url": "https://files.pythonhosted.org/packages/9e/12/eeda5f12ab69860742cd0a07482633dc5456552c42c0dc024f7c3b228fc4/tpfeat-0.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-19 05:34:49",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "tpfeat"
}