Class: OCI::GenerativeAi::Models::VanillaTrainingConfig
- Inherits:
-
TrainingConfig
- Object
- TrainingConfig
- OCI::GenerativeAi::Models::VanillaTrainingConfig
- Defined in:
- lib/oci/generative_ai/models/vanilla_training_config.rb
Overview
The Vanilla training method hyperparameters.
Constant Summary
Constants inherited from TrainingConfig
TrainingConfig::TRAINING_CONFIG_TYPE_ENUM
Instance Attribute Summary collapse
-
#num_of_last_layers ⇒ Integer
The number of last layers to be fine-tuned.
Attributes inherited from TrainingConfig
#early_stopping_patience, #early_stopping_threshold, #learning_rate, #log_model_metrics_interval_in_steps, #total_training_epochs, #training_batch_size, #training_config_type
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 = {}) ⇒ VanillaTrainingConfig
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.
Methods inherited from TrainingConfig
Constructor Details
#initialize(attributes = {}) ⇒ VanillaTrainingConfig
Initializes the object
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 62 def initialize(attributes = {}) return unless attributes.is_a?(Hash) attributes['trainingConfigType'] = 'VANILLA_TRAINING_CONFIG' super(attributes) # convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| h[k.to_sym] = v } self.num_of_last_layers = attributes[:'numOfLastLayers'] if attributes[:'numOfLastLayers'] raise 'You cannot provide both :numOfLastLayers and :num_of_last_layers' if attributes.key?(:'numOfLastLayers') && attributes.key?(:'num_of_last_layers') self.num_of_last_layers = attributes[:'num_of_last_layers'] if attributes[:'num_of_last_layers'] end |
Instance Attribute Details
#num_of_last_layers ⇒ Integer
The number of last layers to be fine-tuned.
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 15 def num_of_last_layers @num_of_last_layers end |
Class Method Details
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 18 def self.attribute_map { # rubocop:disable Style/SymbolLiteral 'training_config_type': :'trainingConfigType', 'total_training_epochs': :'totalTrainingEpochs', 'learning_rate': :'learningRate', 'training_batch_size': :'trainingBatchSize', 'early_stopping_patience': :'earlyStoppingPatience', 'early_stopping_threshold': :'earlyStoppingThreshold', 'log_model_metrics_interval_in_steps': :'logModelMetricsIntervalInSteps', 'num_of_last_layers': :'numOfLastLayers' # rubocop:enable Style/SymbolLiteral } end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 34 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'training_config_type': :'String', 'total_training_epochs': :'Integer', 'learning_rate': :'Float', 'training_batch_size': :'Integer', 'early_stopping_patience': :'Integer', 'early_stopping_threshold': :'Float', 'log_model_metrics_interval_in_steps': :'Integer', 'num_of_last_layers': :'Integer' # rubocop:enable Style/SymbolLiteral } end |
Instance Method Details
#==(other) ⇒ Object
Checks equality by comparing each attribute.
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 86 def ==(other) return true if equal?(other) self.class == other.class && training_config_type == other.training_config_type && total_training_epochs == other.total_training_epochs && learning_rate == other.learning_rate && training_batch_size == other.training_batch_size && early_stopping_patience == other.early_stopping_patience && early_stopping_threshold == other.early_stopping_threshold && log_model_metrics_interval_in_steps == other.log_model_metrics_interval_in_steps && num_of_last_layers == other.num_of_last_layers end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 123 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/generative_ai/models/vanilla_training_config.rb', line 103 def eql?(other) self == other end |
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 112 def hash [training_config_type, total_training_epochs, learning_rate, training_batch_size, early_stopping_patience, early_stopping_threshold, log_model_metrics_interval_in_steps, num_of_last_layers].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/generative_ai/models/vanilla_training_config.rb', line 156 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/generative_ai/models/vanilla_training_config.rb', line 150 def to_s to_hash.to_s end |