Quasi-randomized (neural) networks
Project description
Quasi-randomized (neural) networks for regression, classification and time series forecasting
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nnetsauce-0.52.0.tar.gz
(187.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
nnetsauce-0.52.0-py3-none-any.whl
(253.5 kB
view details)
File details
Details for the file nnetsauce-0.52.0.tar.gz.
File metadata
- Download URL: nnetsauce-0.52.0.tar.gz
- Upload date:
- Size: 187.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a12a83749cf8b1499e49f13c585e38a318cce9d157aff5225f16b5fc8b6c53b9
|
|
| MD5 |
a3092e5dd711f89bc3d0b37870e9b015
|
|
| BLAKE2b-256 |
f9fa6babf5deabb2d4e9b38e8427c8cb55d02c8e076abbcaa471433635294913
|
File details
Details for the file nnetsauce-0.52.0-py3-none-any.whl.
File metadata
- Download URL: nnetsauce-0.52.0-py3-none-any.whl
- Upload date:
- Size: 253.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6857ef84a2f1a1ed9faef701de083195d40cdb7f066ffb6b8a4c7065bcc0bcec
|
|
| MD5 |
b915b3324278cf6ffd01d3183b63386b
|
|
| BLAKE2b-256 |
17d43bbd130aff9e1678b57db984740254c88b7f2f05ff2316f88d3f6f263a48
|