Class: Agents::NaiveBayesAgent

Inherits:
Agent
  • Object
show all
Defined in:
lib/huginn_naive_bayes_agent/naive_bayes_agent.rb

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.from_yml(yml_data) ⇒ Object 



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# File 'lib/huginn_naive_bayes_agent/naive_bayes_agent.rb', line 142

def self.from_yml(yml_data)
  nbayes = YAML.load(yml_data)
  nbayes.reset_after_import()  # yaml does not properly set the defaults on the Hashes
  nbayes
end

Instance Method Details

#default_options ⇒ Object 



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# File 'lib/huginn_naive_bayes_agent/naive_bayes_agent.rb', line 47

def default_options
  {
    'min_value' => "0.5",
    'propagate_training_events' => 'true',
    'expected_update_period_in_days' => "7",
    'strip_punctuation' => 'false',
    'stem' => 'false'
  }
end

#load(dat) ⇒ Object 



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# File 'lib/huginn_naive_bayes_agent/naive_bayes_agent.rb', line 132

def load(dat)
  if dat.nil?
    nbayes = NBayes::Base.new
  else
    nbayes = self.class.from_yml(dat)
  end
  nbayes
end

#receive(incoming_events) ⇒ Object 



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# File 'lib/huginn_naive_bayes_agent/naive_bayes_agent.rb', line 66

def receive(incoming_events)
  incoming_events.each do |event|
    nbayes = load(memory['data'])
    # validate incoming payload
    if !event.payload['nb_cats']
      error("Missing `nb_cats` field in the event payload. #{event.payload.to_s}")
raise 'Missing `nb_cats` field in the event payload.'
    end
    if !event.payload['nb_content']
      error("Missing `nb_content` field in the event payload. #{event.payload.to_s}")
      raise 'Missing `nb_content` field in the event payload.'
    end 
    # train or modify existing classifier
    if event.payload['nb_cats'].length > 0 and not event.payload['nb_cats'].include?("=class")
      cats = event.payload['nb_cats'].split(/\s+/)
      if cats[0] == "=loadYML"
        memory['data'] = event.payload['nb_content']
      elsif cats[0] == "=delCat"
        ca = event.payload['nb_content'].split(/\s+/)
        ca.each do |c|
          nbayes.delete_category(c)
        end
        memory['data'] = YAML.dump(nbayes)
      elsif cats[0] == "=purgeTokens"
        nbayes.purge_less_than(event.payload['nb_content'].to_i)
        memory['data'] = YAML.dump(nbayes)
      else
        nb_content = event.payload['nb_content']
        if interpolated['strip_punctuation'] == "true"
          nb_content = nb_content.gsub(/[^[:word:]\s]/, '') #https://stackoverflow.com/a/10074271
        end
        if interpolated['stem'] == "true"
          nb_content = nb_content.split(/\s+/).map{|word| word.stem}.join(" ")
        end
        cats.each do |c|
          c.starts_with?('-') ? nbayes.untrain(nb_content.split(/\s+/), c[1..-1]) : nbayes.train(nb_content.split(/\s+/), c)
        end
        memory['data'] = YAML.dump(nbayes)
        if interpolated['propagate_training_events'] == "true"
          create_event payload: event.payload
        end
      end
    # classify new data
    else
      nb_content = event.payload['nb_content']
      if interpolated['strip_punctuation'] == "true"
        nb_content = nb_content.gsub(/[^[:word:]\s]/, '') #https://stackoverflow.com/a/10074271
      end
      if interpolated['stem'] == "true"
        nb_content = nb_content.split(/\s+/).map{|word| word.stem}.join(" ")
      end
      result = nbayes.classify(nb_content.split(/\s+/))
      if interpolated['min_value'].to_f == 1
        event.payload['nb_cats'] << (event.payload['nb_cats'].length == 0 ? result.max_class : " "+result.max_class)
      else
        result.each do |cat, val|
          if val > interpolated['min_value'].to_f
            event.payload['nb_cats'] << (event.payload['nb_cats'].length == 0 ? cat : " "+cat)
          end
        end
      end
      create_event payload: event.payload
    end
  end
end

#validate_options ⇒ Object 



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# File 'lib/huginn_naive_bayes_agent/naive_bayes_agent.rb', line 57

def validate_options
  errors.add(:base, "expected_update_period_in_days must be present") unless options['expected_update_period_in_days'].present?
  errors.add(:base, "minimum value must be greater than 0 and less than or equal to 1, e.g. 0.5") unless (0 < options['min_value'].to_f && options['min_value'].to_f <= 1)
end

#working? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/huginn_naive_bayes_agent/naive_bayes_agent.rb', line 62

def working?
  received_event_without_error?
end