Class: SpaCyModel

Inherits:
VectorModel show all
Defined in:
lib/rbbt/vector/model/spaCy.rb

Instance Attribute Summary collapse

Attributes inherited from VectorModel

#balance, #bar, #directory, #eval_model, #extract_features, #factor_levels, #features, #init_model, #labels, #model, #model_options, #model_path, #names, #post_process, #train_model

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from VectorModel

R_eval, R_run, R_train, #__load_method, #add, #add_list, #balance_labels, #clear, #cross_validation, #eval, #eval_list, f1_metrics, #init, #run, #save_models, #train

Constructor Details

#initialize(dir, config, categories = %w(positive negative),, lang = 'en_core_web_md') ⇒ SpaCyModel 



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# File 'lib/rbbt/vector/model/spaCy.rb', line 13

def initialize(dir, config, categories = %w(positive negative), lang = 'en_core_web_md')
  @config = case
            when Path === config
              config.read
            when Misc.is_filename?(config)
              Open.read(config)
            when (Misc.is_filename?(config, false) && Rbbt.share.spaCy.cpu[config].exists?)
              Rbbt.share.spaCy.cpu[config].read
            when (Misc.is_filename?(config, false) && Rbbt.share.spaCy[config].exists?)
              Rbbt.share.spaCy[config].read
            else
              config
            end
  Log.debug "SpaCy model loading config from: #{@config}"
  @lang = lang

  super(dir)

  @train_model = Proc.new do |features, labels|
    texts = features
    docs = []
    unique_labels = labels.uniq
    tmpconfig = File.join(@model_path, 'config')
    tmptrain = File.join(@model_path, 'train.spacy')
    SpaCy.config(@config, tmpconfig)

    bar = bar(features.length, "Training documents into spacy format")
    SpaCyModel.spacy do
      nlp = SpaCy.nlp(lang)
      docs = []
      RbbtPython.iterate nlp.pipe(texts.zip(labels), as_tuples: true), :bar => bar do |doc,label|
        unique_labels.each do |other_label|
          next if other_label == label
          doc.cats[other_label] = false
        end
        doc.cats[label] = true
        docs << doc
      end

      doc_bin = spacy.tokens.DocBin.new(docs: docs)
      doc_bin.to_disk(tmptrain)
    end

    gpu = Rbbt::Config.get('gpu_id', :spacy, :spacy_train, :default => 0)
    CMD.cmd_log(:spacy, "train #{tmpconfig} --output #{@model_path} --paths.train #{tmptrain} --paths.dev #{tmptrain}",  "--gpu-id" => gpu)
  end
 
  @eval_model = Proc.new do |features,list|
    texts = features
    texts = [texts] unless list

    model_path = @model_path

    docs = []
    bar = bar(features.length, "Evaluating model")
    SpaCyModel.spacy do
      gpu = Rbbt::Config.get('gpu_id', :spacy, :spacy_train, :default => 0)
      gpu = gpu.to_i if gpu && gpu != ""
      spacy.require_gpu(gpu) if gpu
      nlp = spacy.load("#{model_path}/model-best")

      docs = nlp.pipe(texts)
      RbbtPython.collect docs, :bar => bar do |d|
        Misc.timeout_insist(20) do
          d.cats.sort_by{|l,v| v.to_f || 0 }.last.first
        end
      end
    end
  end
end

Instance Attribute Details

#config ⇒ Object

Returns the value of attribute config.



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# File 'lib/rbbt/vector/model/spaCy.rb', line 5

def config
  @config
end

Class Method Details

.spacy(&block) ⇒ Object 



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# File 'lib/rbbt/vector/model/spaCy.rb', line 7

def self.spacy(&block)
  RbbtPython.run "spacy" do 
    RbbtPython.module_eval(&block)
  end
end