Class: Wikipedia::VandalismDetection::Instances

Inherits:
Object
  • Object
show all
Defined in:
lib/wikipedia/vandalism_detection/instances.rb

Constant Summary collapse

REGULAR_CLASS_INDEX = 
0
VANDALISM_CLASS_INDEX = 
1
NOT_KNOWN_INDEX = 
2
CLASS = 
'class'.freeze
VANDALISM = 
'vandalism'.freeze
REGULAR = 
'regular'.freeze
NOT_KNOWN = 
'?'.freeze
OUTLIER = 
Weka::Classifiers::Meta::OneClassClassifier::OUTLIER_LABEL
VANDALISM_SHORT = 
'V'.freeze
REGULAR_SHORT = 
'R'.freeze
OLD_REVISION_ID = 
'oldrevisionid'.freeze
NEW_REVISION_ID = 
'newrevisionid'.freeze
CLASSES = 
{
  REGULAR_CLASS_INDEX => REGULAR,
  VANDALISM_CLASS_INDEX => VANDALISM,
  NOT_KNOWN_INDEX => NOT_KNOWN
}.freeze
CLASSES_SHORT = 
{
  REGULAR_CLASS_INDEX => REGULAR_SHORT,
  VANDALISM_CLASS_INDEX => VANDALISM_SHORT,
  NOT_KNOWN_INDEX => NOT_KNOWN
}.freeze

Class Method Summary collapse

Class Method Details

.empty ⇒ Object

Returns an empty instances dataset of type Java::WekaCore::Instances. This dataset is used for feature computation and classification for Wikipedia vandalism detection while training.

Examples:

datset = Wikipedia::VandalismDetection::Instances.empty
=> #<Java::WekaCore::Instances:0xf0f9a00
   @positions=[
     #<Java::WekaCore::Attribute:0x17207a76>,
     #<Java::WekaCore::Attribute:0x5547e4d6>,
     #<Java::WekaCore::Attribute:0x6300c957>,
     ...,
     #<Java::WekaCore::Attribute:0x5a74fae4>]>


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# File 'lib/wikipedia/vandalism_detection/instances.rb', line 50

def empty
  features = Wikipedia::VandalismDetection.config.features
  classes = dataset_classes

  dataset = Weka::Core::Instances.new.with_attributes do
    features.each do |name|
      numeric name.tr(' ', '_')
    end

    nominal :class, values: classes, class_attribute: true
  end

  dataset
end

.empty_for_feature(name) ⇒ Object

Returns an empty instances dataset of type Java::WekaCore::Instances. This dataset is used for feature computation and classification for Wikipedia vandalism detection while training.

Examples:

datset = Wikipedia::VandalismDetection::Instances.empty
=> #<Java::WekaCore::Instances:0xf0f9a00
   @positions=[
     #<Java::WekaCore::Attribute:0x17207a76>


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# File 'lib/wikipedia/vandalism_detection/instances.rb', line 74

def empty_for_feature(name)
  classes = dataset_classes

  Weka::Core::Instances.new.with_attributes do
    numeric name.tr(' ', '_')
    nominal :class, values: classes, class_attribute: true
  end
end

.empty_for_test_class ⇒ Object

Returns an empty instances dataset of type Java::WekaCore::Instances. This dataset is used for creating the ground truth classification.



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# File 'lib/wikipedia/vandalism_detection/instances.rb', line 102

def empty_for_test_class
  classes = dataset_classes

  Weka::Core::Instances.new.with_attributes do
    nominal :class, values: classes
  end
end

.empty_for_test_feature(name) ⇒ Object

Returns an empty instances dataset of type Java::WekaCore::Instances. This dataset is used for feature computation and classification for Wikipedia vandalism detection while testing.

Examples:

datset = Wikipedia::VandalismDetection::Instances.empty_for_test
=> #<Java::WekaCore::Instances:0xf0f9a00
   @positions=[
     #<Java::WekaCore::Attribute:0x17207a76>]>


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# File 'lib/wikipedia/vandalism_detection/instances.rb', line 92

def empty_for_test_feature(name)
  Weka::Core::Instances.new.with_attributes do
    numeric name.tr(' ', '_')
    numeric OLD_REVISION_ID
    numeric NEW_REVISION_ID
  end
end