| Name | unquad JSON |
| Version |
0.8.5
JSON |
| download |
| home_page | None |
| Summary | DEPRECATED: This package has been renamed to 'nonconform'. Please install 'nonconform' instead with `pip install nonconform`. Conformal Anomaly Detection |
| upload_time | 2025-07-15 12:27:38 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.12 |
| license | BSD 3-Clause License
Copyright (c) 2024, Oliver Hennhöfer
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
anomaly detection
conformal anomaly detection
conformal inference
false discovery rate
uncertainty quantification
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
numpy
pandas
scikit-learn
pyod
scipy
tqdm
pyarrow
tensorflow
torch
online-fdr
black
ruff
pre-commit
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# unquad (DEPRECATED)
⚠️ **This package is deprecated and has been renamed to [`nonconform`](https://pypi.org/project/nonconform/).**
Please uninstall `unquad` and install the new package instead:
```bash
pip uninstall unquad
pip install nonconform
Raw data
{
"_id": null,
"home_page": null,
"name": "unquad",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.12",
"maintainer_email": "Oliver Hennhoefer <oliver.hennhoefer@mail.de>",
"keywords": "anomaly detection, conformal anomaly detection, conformal inference, false discovery rate, uncertainty quantification",
"author": null,
"author_email": "Oliver Hennhoefer <oliver.hennhoefer@mail.de>",
"download_url": "https://files.pythonhosted.org/packages/9c/20/860b48fb30cb88abb11b3cc21d5109555ca0118ed4cdb552f17d232239e5/unquad-0.8.5.tar.gz",
"platform": null,
"description": "# unquad (DEPRECATED)\n\n\u26a0\ufe0f **This package is deprecated and has been renamed to [`nonconform`](https://pypi.org/project/nonconform/).**\n\nPlease uninstall `unquad` and install the new package instead:\n\n```bash\npip uninstall unquad\npip install nonconform\n",
"bugtrack_url": null,
"license": "BSD 3-Clause License\n \n Copyright (c) 2024, Oliver Hennh\u00f6fer\n \n Redistribution and use in source and binary forms, with or without\n modification, are permitted provided that the following conditions are met:\n \n 1. Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n \n 2. Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n \n 3. Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n \n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\n FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\n DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\n SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\n CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\n OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.",
"summary": "DEPRECATED: This package has been renamed to 'nonconform'. Please install 'nonconform' instead with `pip install nonconform`. Conformal Anomaly Detection",
"version": "0.8.5",
"project_urls": {
"Bugs": "https://github.com/OliverHennhoefer/unquad/issues",
"Homepage": "https://github.com/OliverHennhoefer/unquad"
},
"split_keywords": [
"anomaly detection",
" conformal anomaly detection",
" conformal inference",
" false discovery rate",
" uncertainty quantification"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "768f41782cf1d2e8a8bffd339e380b6ee77f3cbcdcf14ba1e376fccf7a6e0004",
"md5": "5a061918a122d549a97e477a07ffac4b",
"sha256": "0a1242a9c4965c1a6885cd490d486f09b98c18b412aa29bf9a1be5567f58be8a"
},
"downloads": -1,
"filename": "unquad-0.8.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "5a061918a122d549a97e477a07ffac4b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.12",
"size": 48267,
"upload_time": "2025-07-15T12:27:36",
"upload_time_iso_8601": "2025-07-15T12:27:36.984760Z",
"url": "https://files.pythonhosted.org/packages/76/8f/41782cf1d2e8a8bffd339e380b6ee77f3cbcdcf14ba1e376fccf7a6e0004/unquad-0.8.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "9c20860b48fb30cb88abb11b3cc21d5109555ca0118ed4cdb552f17d232239e5",
"md5": "99f79d33683ff7e6521220170ca3a519",
"sha256": "3da7fd71780d82c7f675883d7207923b8817bf4d5e4f5c6800abc9513f337f7f"
},
"downloads": -1,
"filename": "unquad-0.8.5.tar.gz",
"has_sig": false,
"md5_digest": "99f79d33683ff7e6521220170ca3a519",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.12",
"size": 125160,
"upload_time": "2025-07-15T12:27:38",
"upload_time_iso_8601": "2025-07-15T12:27:38.297323Z",
"url": "https://files.pythonhosted.org/packages/9c/20/860b48fb30cb88abb11b3cc21d5109555ca0118ed4cdb552f17d232239e5/unquad-0.8.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-15 12:27:38",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "OliverHennhoefer",
"github_project": "unquad",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "numpy",
"specs": [
[
"~=",
"1.26.0"
]
]
},
{
"name": "pandas",
"specs": [
[
">=",
"2.2.1"
]
]
},
{
"name": "scikit-learn",
"specs": [
[
">=",
"1.6.1"
]
]
},
{
"name": "pyod",
"specs": [
[
"~=",
"2.0.3"
]
]
},
{
"name": "scipy",
"specs": [
[
">=",
"1.13.0"
]
]
},
{
"name": "tqdm",
"specs": [
[
">=",
"4.66.2"
]
]
},
{
"name": "pyarrow",
"specs": [
[
">=",
"16.1.0"
]
]
},
{
"name": "tensorflow",
"specs": [
[
">=",
"2.16.1"
]
]
},
{
"name": "torch",
"specs": [
[
">=",
"2.2.2"
]
]
},
{
"name": "online-fdr",
"specs": [
[
">=",
"0.0.3"
]
]
},
{
"name": "black",
"specs": []
},
{
"name": "ruff",
"specs": []
},
{
"name": "pre-commit",
"specs": []
}
],
"lcname": "unquad"
}
