Quasi-randomized (neural) networks for regression, classification and time series forecasting
Metadata
Release files for nnetsauce 0.56.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nnetsauce-0.56.1.tar.gz | 192.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nnetsauce-0.56.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 449.6 kB
Release files / nnetsauce-0.56.1.tar.gz
| Download URL | nnetsauce-0.56.1.tar.gz |
|---|---|
| Size | 192.1 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / nnetsauce-0.56.1-py3-none-any.whl
| Download URL | nnetsauce-0.56.1-py3-none-any.whl |
|---|---|
| Size | 257.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9ab114d8e9b80bc413227ef5c431fc2d1395bddaf017a695192ced91e8290b0a
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BLAKE2b-256 checksum How to use checksums |
8b357ff7b7d46225bcf17e6c42973bf0ae45317e62f2fe45ddf84df99021dcdb
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|