bayes_on_redis Bayesian classifier on top of Redis
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spam spam filtering classifier Bayesian Bayesian classifier HAM filtering

bayes_on_redis Description

Bayesian classifier on top of Redis bayes_on_redis is a Python library that provides bayesian classification on a given text similar to many SPAM/HAM filtering technique.Why on Redis?(http://code.google.com/p/redis) is a persistent in-memory database with supports for various data structures such as lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth.Because of Redis properties:- It is extremely easy to implement simple algorithm such as bayesian filter.- The persistence of Redis means that the Bayesian implementation can be used in real production environment.- Even though I don't particularly care about performance at the moment. Redis benchmarks give me confidence that the implementation can scale to relatively large training data.How to install? (Ruby version) gem install bayes_on_redisGetting started- Create instance of BayesOnRedis and pass your Redis information. # Of course, use real sentences for much better accuracy. # Unless if you want to train spam related things. bor = BayesOnRedis.new(:redis_host => '127.0.0.1', :redis_port => 6379, :redis_db => 5)- Teach it bor.train "good", "sweet awesome kick-ass cool pretty smart" bor.train "bad", "sucks lame boo death bankrupt loser sad"- Then ask it to classify text. bor.classify("awesome kick-ass ninja can still be lame.")for PythonistasBayesOnRedis is also available in Python. With the same API.ContributingFork http://github.com/didip/bayes_on_redis and send pull requests. Requirements: · Python

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