Class: OCI::GenerativeAi::Models::FineTuneDetails
- Inherits:
-
Object
- Object
- OCI::GenerativeAi::Models::FineTuneDetails
- Defined in:
- lib/oci/generative_ai/models/fine_tune_details.rb
Overview
Details about fine-tuning a custom model.
Instance Attribute Summary collapse
-
#dedicated_ai_cluster_id ⇒ String
[Required] The OCID of the dedicated AI cluster this fine-tuning runs on.
- #training_config ⇒ OCI::GenerativeAi::Models::TrainingConfig
-
#training_dataset ⇒ OCI::GenerativeAi::Models::Dataset
This attribute is required.
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 = {}) ⇒ FineTuneDetails
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 = {}) ⇒ FineTuneDetails
Initializes the object
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 54 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.training_dataset = attributes[:'trainingDataset'] if attributes[:'trainingDataset'] raise 'You cannot provide both :trainingDataset and :training_dataset' if attributes.key?(:'trainingDataset') && attributes.key?(:'training_dataset') self.training_dataset = attributes[:'training_dataset'] if attributes[:'training_dataset'] self.dedicated_ai_cluster_id = attributes[:'dedicatedAiClusterId'] if attributes[:'dedicatedAiClusterId'] raise 'You cannot provide both :dedicatedAiClusterId and :dedicated_ai_cluster_id' if attributes.key?(:'dedicatedAiClusterId') && attributes.key?(:'dedicated_ai_cluster_id') self.dedicated_ai_cluster_id = attributes[:'dedicated_ai_cluster_id'] if attributes[:'dedicated_ai_cluster_id'] self.training_config = attributes[:'trainingConfig'] if attributes[:'trainingConfig'] raise 'You cannot provide both :trainingConfig and :training_config' if attributes.key?(:'trainingConfig') && attributes.key?(:'training_config') self.training_config = attributes[:'training_config'] if attributes[:'training_config'] end |
Instance Attribute Details
#dedicated_ai_cluster_id ⇒ String
[Required] The OCID of the dedicated AI cluster this fine-tuning runs on.
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 18 def dedicated_ai_cluster_id @dedicated_ai_cluster_id end |
#training_config ⇒ OCI::GenerativeAi::Models::TrainingConfig
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 21 def training_config @training_config end |
#training_dataset ⇒ OCI::GenerativeAi::Models::Dataset
This attribute is required.
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 14 def training_dataset @training_dataset 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/fine_tune_details.rb', line 24 def self.attribute_map { # rubocop:disable Style/SymbolLiteral 'training_dataset': :'trainingDataset', 'dedicated_ai_cluster_id': :'dedicatedAiClusterId', 'training_config': :'trainingConfig' # rubocop:enable Style/SymbolLiteral } end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 35 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'training_dataset': :'OCI::GenerativeAi::Models::Dataset', 'dedicated_ai_cluster_id': :'String', 'training_config': :'OCI::GenerativeAi::Models::TrainingConfig' # 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/fine_tune_details.rb', line 86 def ==(other) return true if equal?(other) self.class == other.class && training_dataset == other.training_dataset && dedicated_ai_cluster_id == other.dedicated_ai_cluster_id && training_config == other.training_config end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 118 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/fine_tune_details.rb', line 98 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/fine_tune_details.rb', line 107 def hash [training_dataset, dedicated_ai_cluster_id, training_config].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/generative_ai/models/fine_tune_details.rb', line 151 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/fine_tune_details.rb', line 145 def to_s to_hash.to_s end |