Luparnet
**Luparnet** is a barebones machine learning that creates a simple class "net". This
network can then be trained.
Methods
The network takes only two arguments in the constructor, the first being
the desired number of layers and the second being an array of the data dimensions. The train function takes three arguments with an option for overload. The function takes first the number of epochs to train for, the second is the input data, the third is the output data. The final argument is an integer which allows for debugging and user training.
Metadata
Release files for luparnet 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 | Provenance | Actions |
|---|---|---|---|---|
| luparnet-0.1.1.tar.gz | 1.4 kB | Without provenance | Details for luparnet-0.1.1.tar.gz |
Release files / luparnet-0.1.1.tar.gz
| Download URL | luparnet-0.1.1.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ab2a45948c8209f6c56b2868c6b35db9f7b1afb38d5a8ed92f6a667fad884179
|
|
BLAKE2b-256 checksum How to use checksums |
2d99efd518413f10cb6fec1cd3637c00799a255ecc18b735acfcd205a2483117
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.18.4 setuptools/40.7.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.13
|
Security for luparnet 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.