Sha256: bada763d83f0c9bd8e3bc7b6450ac82af1f75fa9505c71d809c59aa83c9144e4
Contents?: true
Size: 1.96 KB
Versions: 5
Compression:
Stored size: 1.96 KB
Contents
module Ankusa module Classifier attr_reader :classnames def initialize(storage) @storage = storage @storage.init_tables @classnames = @storage.classnames end # text can be either an array of strings or a string # klass is a symbol def train(klass, text) th = TextHash.new(text) th.each { |word, count| @storage.incr_word_count klass, word, count yield word, count if block_given? } @storage.incr_total_word_count klass, th.word_count doccount = (text.kind_of? Array) ? text.length : 1 @storage.incr_doc_count klass, doccount @classnames << klass unless @classnames.include? klass # cache is now dirty of these vars @doc_count_totals = nil @vocab_sizes = nil th end # text can be either an array of strings or a string # klass is a symbol def untrain(klass, text) th = TextHash.new(text) th.each { |word, count| @storage.incr_word_count klass, word, -count yield word, count if block_given? } @storage.incr_total_word_count klass, -th.word_count doccount = (text.kind_of? Array) ? text.length : 1 @storage.incr_doc_count klass, -doccount # cache is now dirty of these vars @doc_count_totals = nil @vocab_sizes = nil th end protected def get_word_probs(word, classnames) probs = Hash.new 0 @storage.get_word_counts(word).each { |k,v| probs[k] = v if classnames.include? k } vs = vocab_sizes classnames.each { |cn| # if we've never seen the class, the word prob is 0 next unless vs.has_key? cn # use a laplacian smoother probs[cn] = (probs[cn] + 1).to_f / (@storage.get_total_word_count(cn) + vs[cn]).to_f } probs end def doc_count_totals @doc_count_totals ||= @storage.doc_count_totals end def vocab_sizes @vocab_sizes ||= @storage.get_vocabulary_sizes end end end
Version data entries
5 entries across 5 versions & 1 rubygems