Generalized Kernel Method
We connect generalized linear models (GLMs) with kernel methods (best known from Support Vector Machines) to obtain a generalized kernel method.
Installation
Usage
Theoretical Foundation
1 maintainer
Release files for gkm 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gkm-0.1.1.tar.gz | 18.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gkm-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.7 kB
Release files / gkm-0.1.1.tar.gz
| Download URL | gkm-0.1.1.tar.gz |
|---|---|
| Size | 18.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6e29441d5db04dcb2a889c2fe3b00236778a47b8ba01779cd6d86617de87dc5b
|
|
BLAKE2b-256 checksum How to use checksums |
cfd85c8e7fd33dd4ded75484dc01abb5af2ffa213f1393b8146331f2c3348731
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|
Release files / gkm-0.1.1-py3-none-any.whl
| Download URL | gkm-0.1.1-py3-none-any.whl |
|---|---|
| Size | 18.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b1b11f34083d9411559e57bd8c89ae151a2c6eb8c270b6a3ba099fea5545673b
|
|
BLAKE2b-256 checksum How to use checksums |
8e385e3689dc8aaa8220f74544cbead2ae1c2356b48ac14bd8dd102d1518cf56
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|
