Class: OCI::GenerativeAi::Models::TFewTrainingConfig

Inherits:
TrainingConfig show all
Defined in:
lib/oci/generative_ai/models/t_few_training_config.rb

Overview

The TFEW training method hyperparameters.

Constant Summary

Constants inherited from TrainingConfig

OCI::GenerativeAi::Models::TrainingConfig::TRAINING_CONFIG_TYPE_ENUM

Instance Attribute Summary

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

Instance Method Summary collapse

Methods inherited from TrainingConfig

get_subtype

Constructor Details

#initialize(attributes = {}) ⇒ TFewTrainingConfig

Initializes the object

Parameters:

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

    Model attributes in the form of hash

Options Hash (attributes):



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# File 'lib/oci/generative_ai/models/t_few_training_config.rb', line 54

def initialize(attributes = {})
  return unless attributes.is_a?(Hash)

  attributes['trainingConfigType'] = 'TFEW_TRAINING_CONFIG'

  super(attributes)
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/t_few_training_config.rb', line 13

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'
    # rubocop:enable Style/SymbolLiteral
  }
end

.swagger_types ⇒ Object

Attribute type mapping.



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# File 'lib/oci/generative_ai/models/t_few_training_config.rb', line 28

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'
    # rubocop:enable Style/SymbolLiteral
  }
end

Instance Method Details

#==(other) ⇒ Object

Checks equality by comparing each attribute.

Parameters:

  • other (Object) —

    the other object to be compared



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# File 'lib/oci/generative_ai/models/t_few_training_config.rb', line 69

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
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/oci/generative_ai/models/t_few_training_config.rb', line 105

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

Parameters:

  • other (Object) —

    the other object to be compared

Returns:

  • (Boolean)

See Also:

  • `==` method


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# File 'lib/oci/generative_ai/models/t_few_training_config.rb', line 85

def eql?(other)
  self == other
end

#hash ⇒ Fixnum

Calculates hash code according to all attributes.

Returns:

  • (Fixnum) —

    Hash code



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# File 'lib/oci/generative_ai/models/t_few_training_config.rb', line 94

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].hash
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/oci/generative_ai/models/t_few_training_config.rb', line 138

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

Returns:

  • (String) —

    String presentation of the object



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# File 'lib/oci/generative_ai/models/t_few_training_config.rb', line 132

def to_s
  to_hash.to_s
end