spam | Bayes'ed on the ideas from Paul Grahams

by melpomene Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | spam Summary

spam is a Python library. spam has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However spam build file is not available. You can download it from GitHub.

Bayes’ed (hehe) on the ideas from [Paul Grahams spam detector] The script depends on a sqlite database named spam.db. with the following schema. If the spam integer is set to one it is counted as spam. Currently the filter retrains on the set everytime it wants to check a input for spam risk. This is obviously not a good way but I have kept it that way during the development since I am still inthe processess of traing to find good training data. If you have suggestions please feel free to contact me.

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Quality

Security

License

Reuse

Support

spam has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spam is current.

Quality

spam has no bugs reported.

Security

spam has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

spam is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

spam releases are not available. You will need to build from source code and install.

spam has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed spam and discovered the below as its top functions. This is intended to give you an instant insight into spam implemented functionality, and help decide if they suit your requirements.

Calculates Risk_map based on statistics
Returns the probability of spam risk for a given comment .
Returns all the words in the comments table .
Sanitizes the given wl .
Returns the nbr mapping for each word
Print wc to the wc
Connect to the database .
tokenize a string

Get all kandi verified functions for this library.

spam Key Features

No Key Features are available at this moment for spam.

spam Examples and Code Snippets

No Code Snippets are available at this moment for spam.

Community Discussions

No Community Discussions are available at this moment for spam.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install spam

You can download it from GitHub.
You can use spam like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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