Class: OCI::AiAnomalyDetection::Models::ModelTrainingDetails
- Inherits:
-
Object
- Object
- OCI::AiAnomalyDetection::Models::ModelTrainingDetails
- Defined in:
- lib/oci/ai_anomaly_detection/models/model_training_details.rb
Overview
Specifies the details of the MSET model during the create call.
Constant Summary collapse
- ALGORITHM_HINT_ENUM =
[ ALGORITHM_HINT_MULTIVARIATE_MSET = 'MULTIVARIATE_MSET'.freeze, ALGORITHM_HINT_UNIVARIATE_OCSVM = 'UNIVARIATE_OCSVM'.freeze, ALGORITHM_HINT_UNKNOWN_ENUM_VALUE = 'UNKNOWN_ENUM_VALUE'.freeze ].freeze
Instance Attribute Summary collapse
-
#algorithm_hint ⇒ String
User can choose specific algorithm for training.
-
#data_asset_ids ⇒ Array<String>
[Required] The list of OCIDs of the data assets to train the model.
-
#target_fap ⇒ Float
A target model accuracy metric user provides as their requirement.
-
#training_fraction ⇒ Float
Fraction of total data that is used for training the model.
-
#window_size ⇒ Integer
This value would determine the window size of the training algorithm.
Class Method Summary collapse
-
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
-
.swagger_types ⇒ Object
Attribute type mapping.
Instance Method Summary collapse
-
#==(other) ⇒ Object
Checks equality by comparing each attribute.
-
#build_from_hash(attributes) ⇒ Object
Builds the object from hash.
- #eql?(other) ⇒ Boolean
-
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
-
#initialize(attributes = {}) ⇒ ModelTrainingDetails
constructor
Initializes the object.
-
#to_hash ⇒ Hash
Returns the object in the form of hash.
-
#to_s ⇒ String
Returns the string representation of the object.
Constructor Details
#initialize(attributes = {}) ⇒ ModelTrainingDetails
Initializes the object
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 75 def initialize(attributes = {}) return unless attributes.is_a?(Hash) # convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| h[k.to_sym] = v } self.algorithm_hint = attributes[:'algorithmHint'] if attributes[:'algorithmHint'] raise 'You cannot provide both :algorithmHint and :algorithm_hint' if attributes.key?(:'algorithmHint') && attributes.key?(:'algorithm_hint') self.algorithm_hint = attributes[:'algorithm_hint'] if attributes[:'algorithm_hint'] self.target_fap = attributes[:'targetFap'] if attributes[:'targetFap'] self.target_fap = 0.01 if target_fap.nil? && !attributes.key?(:'targetFap') # rubocop:disable Style/StringLiterals raise 'You cannot provide both :targetFap and :target_fap' if attributes.key?(:'targetFap') && attributes.key?(:'target_fap') self.target_fap = attributes[:'target_fap'] if attributes[:'target_fap'] self.target_fap = 0.01 if target_fap.nil? && !attributes.key?(:'targetFap') && !attributes.key?(:'target_fap') # rubocop:disable Style/StringLiterals self.training_fraction = attributes[:'trainingFraction'] if attributes[:'trainingFraction'] self.training_fraction = 0.7 if training_fraction.nil? && !attributes.key?(:'trainingFraction') # rubocop:disable Style/StringLiterals raise 'You cannot provide both :trainingFraction and :training_fraction' if attributes.key?(:'trainingFraction') && attributes.key?(:'training_fraction') self.training_fraction = attributes[:'training_fraction'] if attributes[:'training_fraction'] self.training_fraction = 0.7 if training_fraction.nil? && !attributes.key?(:'trainingFraction') && !attributes.key?(:'training_fraction') # rubocop:disable Style/StringLiterals self.window_size = attributes[:'windowSize'] if attributes[:'windowSize'] raise 'You cannot provide both :windowSize and :window_size' if attributes.key?(:'windowSize') && attributes.key?(:'window_size') self.window_size = attributes[:'window_size'] if attributes[:'window_size'] self.data_asset_ids = attributes[:'dataAssetIds'] if attributes[:'dataAssetIds'] raise 'You cannot provide both :dataAssetIds and :data_asset_ids' if attributes.key?(:'dataAssetIds') && attributes.key?(:'data_asset_ids') self.data_asset_ids = attributes[:'data_asset_ids'] if attributes[:'data_asset_ids'] end |
Instance Attribute Details
#algorithm_hint ⇒ String
User can choose specific algorithm for training.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 20 def algorithm_hint @algorithm_hint end |
#data_asset_ids ⇒ Array<String>
[Required] The list of OCIDs of the data assets to train the model. The dataAssets have to be in the same project where the ai model would reside.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 36 def data_asset_ids @data_asset_ids end |
#target_fap ⇒ Float
A target model accuracy metric user provides as their requirement
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 24 def target_fap @target_fap end |
#training_fraction ⇒ Float
Fraction of total data that is used for training the model. The remaining is used for validation of the model.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 28 def training_fraction @training_fraction end |
#window_size ⇒ Integer
This value would determine the window size of the training algorithm.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 32 def window_size @window_size end |
Class Method Details
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 39 def self.attribute_map { # rubocop:disable Style/SymbolLiteral 'algorithm_hint': :'algorithmHint', 'target_fap': :'targetFap', 'training_fraction': :'trainingFraction', 'window_size': :'windowSize', 'data_asset_ids': :'dataAssetIds' # rubocop:enable Style/SymbolLiteral } end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 52 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'algorithm_hint': :'String', 'target_fap': :'Float', 'training_fraction': :'Float', 'window_size': :'Integer', 'data_asset_ids': :'Array<String>' # rubocop:enable Style/SymbolLiteral } end |
Instance Method Details
#==(other) ⇒ Object
Checks equality by comparing each attribute.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 136 def ==(other) return true if equal?(other) self.class == other.class && algorithm_hint == other.algorithm_hint && target_fap == other.target_fap && training_fraction == other.training_fraction && window_size == other.window_size && data_asset_ids == other.data_asset_ids end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 170 def build_from_hash(attributes) return nil unless attributes.is_a?(Hash) self.class.swagger_types.each_pair do |key, type| if type =~ /^Array<(.*)>/i # check to ensure the input is an array given that the the attribute # is documented as an array but the input is not if attributes[self.class.attribute_map[key]].is_a?(Array) public_method("#{key}=").call( attributes[self.class.attribute_map[key]] .map { |v| OCI::Internal::Util.convert_to_type(Regexp.last_match(1), v) } ) end elsif !attributes[self.class.attribute_map[key]].nil? public_method("#{key}=").call( OCI::Internal::Util.convert_to_type(type, attributes[self.class.attribute_map[key]]) ) end # or else data not found in attributes(hash), not an issue as the data can be optional end self end |
#eql?(other) ⇒ Boolean
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 150 def eql?(other) self == other end |
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 159 def hash [algorithm_hint, target_fap, training_fraction, window_size, data_asset_ids].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 203 def to_hash hash = {} self.class.attribute_map.each_pair do |attr, param| value = public_method(attr).call next if value.nil? && !instance_variable_defined?("@#{attr}") hash[param] = _to_hash(value) end hash end |
#to_s ⇒ String
Returns the string representation of the object
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# File 'lib/oci/ai_anomaly_detection/models/model_training_details.rb', line 197 def to_s to_hash.to_s end |