OpenGenus/cosmos

Add code for Gaussian Naive Bayes algorithm

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#3706 opened on Oct 2, 2018

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 (6 comments) (0 reactions) (0 assignees)C++ (13,462 stars) (3,724 forks)batch import
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Description

This is a(n):

  • New algorithm
  • Update to an existing algorithm
  • Error
  • Proposal to the Repository

Details:

The task is to add code for Gaussian Naive Bayes algorithm in any language of your choice (C, C++, Java, Python, Swift, JavaScript, GoLang, Matlab and others.

The path of this code will be: code/artificial_intelligence/src/gaussian_naive_bayes/

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Contributor guide

Tech stack
ccppjavapythonswiftjavascriptgo
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
Basic knowledge of Gaussian Naive BayesProgramming basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60
Research direction
This issue requests adding the Gaussian Naive Bayes algorithm implementation to the repository. The code should be placed in the directory 'code/artificial intelligence/src/gaussian naive bayes/'. The implementation can be in any of the listed languages. The issue has been open since 2018 and has 6 comments but no assignees or linked PRs. A good starting point would be to review existing algorithm implementations in the same repository for structure and style. The algorithm involves computing class priors, mean, and variance for each feature, then using Bayes theorem for classification. Ensure to handle edge cases like zero variance.