GKLR
Generalized Kernel Logistic Regression
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Description
Generalized Kernel Logistic Regression.
Installation
It is possible to install the gklr package using pip
pip install gklr
Authors
GKLR was mainly developed by José Ángel Martín Baos from the University of Castilla-La Mancha (JoseAngel.Martin@uclm.es). The main authors of this package are listed in the AUTHORS file.
Known Issues
There are no known issues at this moment.
License
GKLR is distributed under the MIT License. See LICENSE for more information.
1 maintainer
Metadata
1 maintainer
Release files for gklr 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| gklr-0.2.0.tar.gz | 41.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gklr-0.2.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 72.9 kB
Release files / gklr-0.2.0.tar.gz
| Download URL | gklr-0.2.0.tar.gz |
|---|---|
| Size | 41.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / gklr-0.2.0-py2.py3-none-any.whl
| Download URL | gklr-0.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 31.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
1b73df22ce1e5b3d70676ed8b1eb95dba232b38ddffdf060a67e103b31fd3825
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Security for gklr 0.2.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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