SEVQ: Simple Evolving Vector Quantization
Free software: MIT license
Documentation: https://sevq.readthedocs.io.
Installation
To install sevq, run this command in your terminal:
pip install sevqUsage
Training and prediction one sample at a time
from sevq.algorithm import SEVQ
c = SEVQ()
c.partial_fit([-2, -2], 2)
c.partial_fit([-1, -1], 1)
c.partial_fit([1, 1], 1)
c.partial_fit([2, 2], 2)
print(c.predict([0, 0])) # 1
print(c.predict([3, 3])) # 2
print(c.predict([-3, -3])) # 2Training and prediction on multiple samples
from sevq.algorithm import SEVQ
c = SEVQ()
c.fit(
[[-2, -2], [-1, -1], [1, 1], [2, 2]],
[2, 1, 1, 2],
epochs=1, permute=False
)
print(c.predict([[0, 0], [3, 3], [-3, -3]])) # [1, 2, 2]1 maintainer
Metadata
1 maintainer
Release files for sevq 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sevq-1.0.2.tar.gz | 22.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sevq-1.0.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 26.7 kB
Release files / sevq-1.0.2.tar.gz
| Download URL | sevq-1.0.2.tar.gz |
|---|---|
| Size | 22.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / sevq-1.0.2-py2.py3-none-any.whl
| Download URL | sevq-1.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 2 Python 3 |
|
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| Uploaded via |
twine/1.14.0 pkginfo/1.8.2 requests/2.27.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
|
