Re: Advice
[email protected] (Tim Allwine) Fri, 04 Feb 2005 10:14:54 -0800
| Newsgroups | perl.ai |
|---|---|
| Organization | O'Reilly & Associates |
| Message-ID | <[email protected]> |
Jason Armstrong wrote:
> ...
> I've been looking at AI::Categorizer. I have a list of all valid vehicle
> descriptions (about 8200). I create for each of these a knowledge set,
> with the content the same as the category:
>
> Briefly:
>
> my $c = new AI::Categorizer(
> knowledge_set => AI::Categorizer::KnowledgeSet->new
> ( name => 'Vehicles', ),
> learner_class => 'AI::Categorizer::Learner::NaiveBayes');
>
> my $l = $c->learner;
>
> my %docs;
> foreach (vehicle descriptions) {
> $docs{$i}->{content} = $content;
> $docs{$i++}->{category} = [$content];
> }
>
> foreach (keys %docs) {
> $c->knowledge_set->make_document(name => $_, %{$docs->{$_}});
> }
>
> $l->train;
>
>
> Sometimes it works well:
I'm using AI::Categorizer to categorize books and have many of the same
questions as you. AI::Categorizer::Learner::KNN is working the best and
like you when ever I try AI::Categorizer::Learner::SVM it blows up every
time. I even moved it off onto a 64 bit machine with 8 gigs of memory
and it still won't run. We have over 10,000 trained books using the text
supplied by Amazon to train with.
-Tim