Class: LaunchDarklyApi::AnalysisConfigRep

Inherits:
ApiModelBase show all
Defined in:
lib/launchdarkly_api/models/analysis_config_rep.rb

Defined Under Namespace

Classes: EnumAttributeValidator

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from ApiModelBase

_deserialize, #_to_hash, #to_body, #to_s

Constructor Details

#initialize(attributes = {}) ⇒ AnalysisConfigRep

Initializes the object

Parameters:

  • attributes (Hash) (defaults to: {}) —

    Model attributes in the form of hash



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 100

def initialize(attributes = {})
  if (!attributes.is_a?(Hash))
    fail ArgumentError, "The input argument (attributes) must be a hash in `LaunchDarklyApi::AnalysisConfigRep` initialize method"
  end

  # check to see if the attribute exists and convert string to symbol for hash key
  acceptable_attribute_map = self.class.acceptable_attribute_map
  attributes = attributes.each_with_object({}) { |(k, v), h|
    if (!acceptable_attribute_map.key?(k.to_sym))
      fail ArgumentError, "`#{k}` is not a valid attribute in `LaunchDarklyApi::AnalysisConfigRep`. Please check the name to make sure it's valid. List of attributes: " + acceptable_attribute_map.keys.inspect
    end
    h[k.to_sym] = v
  }

  if attributes.key?(:'bayesian_threshold')
    self.bayesian_threshold = attributes[:'bayesian_threshold']
  end

  if attributes.key?(:'significance_threshold')
    self.significance_threshold = attributes[:'significance_threshold']
  end

  if attributes.key?(:'test_direction')
    self.test_direction = attributes[:'test_direction']
  end

  if attributes.key?(:'multiple_comparison_correction_method')
    self.multiple_comparison_correction_method = attributes[:'multiple_comparison_correction_method']
  end

  if attributes.key?(:'multiple_comparison_correction_scope')
    self.multiple_comparison_correction_scope = attributes[:'multiple_comparison_correction_scope']
  end

  if attributes.key?(:'sequential_testing_enabled')
    self.sequential_testing_enabled = attributes[:'sequential_testing_enabled']
  end
end

Instance Attribute Details

#bayesian_threshold ⇒ Object

The threshold for the Probability to Beat Baseline (PBBL) and Probability to Be Best (PBB) comparisons for the Bayesian results analysis approach. Value should be between 0-100 inclusive.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 19

def bayesian_threshold
  @bayesian_threshold
end

#multiple_comparison_correction_method ⇒ Object

The method for multiple comparison correction.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 28

def multiple_comparison_correction_method
  @multiple_comparison_correction_method
end

#multiple_comparison_correction_scope ⇒ Object

The scope for multiple comparison correction.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 31

def multiple_comparison_correction_scope
  @multiple_comparison_correction_scope
end

#sequential_testing_enabled ⇒ Object

Whether sequential testing is enabled for Frequentist analysis



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 34

def sequential_testing_enabled
  @sequential_testing_enabled
end

#significance_threshold ⇒ Object

The significance threshold for the frequentist results analysis approach. Value should be between 0.0-1.0 inclusive.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 22

def significance_threshold
  @significance_threshold
end

#test_direction ⇒ Object

The test sided direction for the frequentist results analysis approach.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 25

def test_direction
  @test_direction
end

Class Method Details

.acceptable_attribute_map ⇒ Object

Returns attribute mapping this model knows about



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 71

def self.acceptable_attribute_map
  attribute_map
end

.acceptable_attributes ⇒ Object

Returns all the JSON keys this model knows about



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 76

def self.acceptable_attributes
  acceptable_attribute_map.values
end

.attribute_map ⇒ Object

Attribute mapping from ruby-style variable name to JSON key.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 59

def self.attribute_map
  {
    :'bayesian_threshold' => :'bayesianThreshold',
    :'significance_threshold' => :'significanceThreshold',
    :'test_direction' => :'testDirection',
    :'multiple_comparison_correction_method' => :'multipleComparisonCorrectionMethod',
    :'multiple_comparison_correction_scope' => :'multipleComparisonCorrectionScope',
    :'sequential_testing_enabled' => :'sequentialTestingEnabled'
  }
end

.build_from_hash(attributes) ⇒ Object

Builds the object from hash

Parameters:

  • attributes (Hash) —

    Model attributes in the form of hash

Returns:

  • (Object) —

    Returns the model itself



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 206

def self.build_from_hash(attributes)
  return nil unless attributes.is_a?(Hash)
  attributes = attributes.transform_keys(&:to_sym)
  transformed_hash = {}
  openapi_types.each_pair do |key, type|
    if attributes.key?(attribute_map[key]) && attributes[attribute_map[key]].nil?
      transformed_hash["#{key}"] = nil
    elsif type =~ /\AArray<(.*)>/i
      # check to ensure the input is an array given that the attribute
      # is documented as an array but the input is not
      if attributes[attribute_map[key]].is_a?(Array)
        transformed_hash["#{key}"] = attributes[attribute_map[key]].map { |v| _deserialize($1, v) }
      end
    elsif !attributes[attribute_map[key]].nil?
      transformed_hash["#{key}"] = _deserialize(type, attributes[attribute_map[key]])
    end
  end
  new(transformed_hash)
end

.openapi_nullable ⇒ Object

List of attributes with nullable: true



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 93

def self.openapi_nullable
  Set.new([
  ])
end

.openapi_types ⇒ Object

Attribute type mapping.



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 81

def self.openapi_types
  {
    :'bayesian_threshold' => :'String',
    :'significance_threshold' => :'String',
    :'test_direction' => :'String',
    :'multiple_comparison_correction_method' => :'String',
    :'multiple_comparison_correction_scope' => :'String',
    :'sequential_testing_enabled' => :'Boolean'
  }
end

Instance Method Details

#==(o) ⇒ Object

Checks equality by comparing each attribute.

Parameters:

  • Object (Object) —

    to be compared



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 180

def ==(o)
  return true if self.equal?(o)
  self.class == o.class &&
      bayesian_threshold == o.bayesian_threshold &&
      significance_threshold == o.significance_threshold &&
      test_direction == o.test_direction &&
      multiple_comparison_correction_method == o.multiple_comparison_correction_method &&
      multiple_comparison_correction_scope == o.multiple_comparison_correction_scope &&
      sequential_testing_enabled == o.sequential_testing_enabled
end

#eql?(o) ⇒ Boolean

Parameters:

  • Object (Object) —

    to be compared

Returns:

  • (Boolean)

See Also:

  • `==` method


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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 193

def eql?(o)
  self == o
end

#hash ⇒ Integer

Calculates hash code according to all attributes.

Returns:

  • (Integer) —

    Hash code



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 199

def hash
  [bayesian_threshold, significance_threshold, test_direction, multiple_comparison_correction_method, multiple_comparison_correction_scope, sequential_testing_enabled].hash
end

#list_invalid_properties ⇒ Object

Show invalid properties with the reasons. Usually used together with valid?

Returns:

  • Array for valid properties with the reasons



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 141

def list_invalid_properties
  warn '[DEPRECATED] the `list_invalid_properties` method is obsolete'
  invalid_properties = Array.new
  invalid_properties
end

#to_hash ⇒ Hash

Returns the object in the form of hash

Returns:

  • (Hash) —

    Returns the object in the form of hash



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 228

def to_hash
  hash = {}
  self.class.attribute_map.each_pair do |attr, param|
    value = self.send(attr)
    if value.nil?
      is_nullable = self.class.openapi_nullable.include?(attr)
      next if !is_nullable || (is_nullable && !instance_variable_defined?(:"@#{attr}"))
    end

    hash[param] = _to_hash(value)
  end
  hash
end

#valid? ⇒ Boolean

Check to see if the all the properties in the model are valid

Returns:

  • (Boolean) —

    true if the model is valid



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# File 'lib/launchdarkly_api/models/analysis_config_rep.rb', line 149

def valid?
  warn '[DEPRECATED] the `valid?` method is obsolete'
  multiple_comparison_correction_method_validator = EnumAttributeValidator.new('String', ["bonferroni", "benjamini-hochberg"])
  return false unless multiple_comparison_correction_method_validator.valid?(@multiple_comparison_correction_method)
  multiple_comparison_correction_scope_validator = EnumAttributeValidator.new('String', ["variations", "variations-and-metrics", "metrics"])
  return false unless multiple_comparison_correction_scope_validator.valid?(@multiple_comparison_correction_scope)
  true
end