From: Matt Mower <matt.mower@...>
Date: 2005-04-19T18:48:56+09:00
Subject: Re: [ANN] Bishop 0.3.0 - bayesian classifier for Ruby ported from Python

Hi Jean-Pierre,

On 4/18/05, Jaypee <rf.oodanaw@sd.eepyaj> wrote:
> Thank you for this useful librbary.

You're welcome.

> I am trying to use it to analyse the project of text for the european
> constitution (Is it social? liberal? respectful of human rights?) 
> [..snip..]
> I'd like to know what the behaviour of the training of a classifier is
> when two different set of words are submitted in two successive "train"
> method invocations for a given category. Does the second invocation
> resets the training or does it accumulate the "experience" progressively.
> 

You're right when you say it accumulates.  Further training supplies
more evidence to the classifier about which words are associated with
which categories .  It uses this evidence to work out conditional
probabilities which are then combined to make a guess about the
approriate category for an item.

There is an #untrain method if you want to remove previously trained
information.

Regards,

Matt

-- 
Matt Mower :: http://matt.blogs.it/