Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

spampy

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

spampy

Spam filtering module with Machine Learning using SVM.

  • 0.3.1
  • PyPI
  • Socket score

Maintainers
1

spampy

.. image:: https://github.com/abdullahselek/spampy/workflows/spampy%20ci/badge.svg :target: https://github.com/abdullahselek/spampy/actions

.. image:: https://img.shields.io/pypi/v/spampy.svg :target: https://pypi.python.org/pypi/spampy/

.. image:: https://img.shields.io/pypi/pyversions/spampy.svg :target: https://pypi.org/project/spampy

.. image:: https://pepy.tech/badge/spampy :target: https://pepy.tech/project/spampy

.. image:: https://img.shields.io/conda/vn/conda-forge/spampy?logo=conda-forge :target: https://anaconda.org/conda-forge/spampy

.. image:: https://anaconda.org/conda-forge/spampy/badges/latest_release_date.svg :target: https://anaconda.org/conda-forge/spampy

Spam filtering module with Machine Learning using SVM. spampy is a classifier that uses Support Vector Machines which tries to classify given raw emails if they are spam or not.

Support vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier.

Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy. spampy is a learning project that you can use filtering spam mails.

spampy uses two different datasets for classification. One of the datasets is already imported inside the project under spampy/datasets/ folder. Second dataset is enron-spam <http://www.aueb.gr/users/ion/data/enron-spam/>_ dataset and inside the spampy folder I created a shell script which downloads and extract it for you.

Project tree

  • email_processor Helper to collect features and labels from datasets.
  • spam_classifier Classifies given raw emails.
  • dataset_downloader Enron dataset downloader which uses dataset_downloader.sh

Dependency List

  • scikit_learn
  • scipy
  • numpy
  • nltk
  • click (for CLI)

Two main function of spam_classifier classifies given raw email.

  • classify_email
  • classify_email_with_enron

CLI

For available commands python -m spampy -h

.. code-block::

Spam filtering module with Machine Learning using SVM.
Usage
  $ python spampy [<options>]
Options
  --help, -h              Display help message
  --download, -d          Download enron dataset
  --eclassify, -ec        Classify given raw email with enron dataset, prompts for raw email
  --classify, -c          Classify given raw email, prompts for raw email
  --version, -v           Display installed version
Examples
  $ python spampy --help
  $ python spampy --download
  $ python spampy --eclassify
  $ python spampy --classify

Keywords

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc