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

Returns a new instance of SpaCyModel.



13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
 
# 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.



5
6
7
 
# File 'lib/rbbt/vector/model/spaCy.rb', line 5

def config
  @config
end

Class Method Details

.spacy(&block) ⇒ Object 



7
8
9
10
11
 
# File 'lib/rbbt/vector/model/spaCy.rb', line 7

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