======================================
Simple Naive Bayes Classifier - Python
======================================
Naive Bayes Classifier is an algorithm to classify texts into sets that is always learning.
The most obvious practical use of it is for Email Spam/Ham Detection.
Source Code
-----------
Please go to the Github Repo `here<https://github.com/tistaharahap/python-bayes-redis>`_ for more info.
Simple Naive Bayes Classifier - Python
======================================
Naive Bayes Classifier is an algorithm to classify texts into sets that is always learning.
The most obvious practical use of it is for Email Spam/Ham Detection.
Source Code
-----------
Please go to the Github Repo `here<https://github.com/tistaharahap/python-bayes-redis>`_ for more info.
1 maintainer
Metadata
1 maintainer
Release files for bayesredis 1.2.1
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 | |
|---|---|---|---|---|
| bayesredis-1.2.1.tar.gz | 46.0 kB | Without provenance | Details |
Release files / bayesredis-1.2.1.tar.gz
| Download URL | bayesredis-1.2.1.tar.gz |
|---|---|
| Size | 46.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
01333d8d3d01d4b85a757047f83847bac892d71db429543a8d2aa2eac5d1d74b
|
|
BLAKE2b-256 checksum How to use checksums |
2f3b65af97abc8ec386c8cd28d008d578f3bcf99d13fc30e32fbcdefcf7f4de7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for bayesredis 1.2.1
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.
