https://github.com/r9y9/naive_bayes

Naive Bayes implementation with digit recognition sample
https://github.com/r9y9/naive_bayes

Last synced: 3 months ago
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Naive Bayes implementation with digit recognition sample

• Host: GitHub
• URL: https://github.com/r9y9/naive_bayes
• Owner: r9y9
• Created: 2013-08-04T15:03:04.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2013-08-07T14:10:18.000Z (about 12 years ago)
• Last Synced: 2025-04-03T18:11:15.321Z (7 months ago)
• Language: Python
• Size: 160 KB
• Stars: 5
• Watchers: 2
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
naive_bayes

===========

Naive Bayes implementation with digit recognition example

## Requirement

- numpy

- scipy

- matplotlib

## Synthetic data example

	$ git clone https://github.com/r9y9/naive_bayes && cd naive_bayes

	$ python naive_bayes_test.py

## Digit recognition using MNIST dataset

	$ python mnist_digit_recognition.py

### After training

mean of Gaussians

![](mnist_mean_of_gaussian.png)

### Result

0.7634 (7634/10000)

Note that it spends about an hour to test 10000 exapmles in this simple implementation.