Class: OCI::GenerativeAi::Models::Dataset

Inherits:
Object
  • Object
show all
Defined in:
lib/oci/generative_ai/models/dataset.rb

Overview

The dataset used to fine-tune the model.

Only one dataset is allowed per custom model, which is split 80-20 for training and validating. You must provide the dataset in a JSON Lines (JSONL) file. Each line in the JSONL file must have the format:

{\"prompt\": \"<first prompt>\", \"completion\": \"<expected completion given first prompt>\"}

This class has direct subclasses. If you are using this class as input to a service operations then you should favor using a subclass over the base class

Direct Known Subclasses

ObjectStorageDataset

Constant Summary collapse

DATASET_TYPE_ENUM = 
[
  DATASET_TYPE_OBJECT_STORAGE = 'OBJECT_STORAGE'.freeze,
  DATASET_TYPE_UNKNOWN_ENUM_VALUE = 'UNKNOWN_ENUM_VALUE'.freeze
].freeze

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(attributes = {}) ⇒ Dataset

Initializes the object

Parameters:

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

    Model attributes in the form of hash

Options Hash (attributes):

  • :dataset_type (String) —

    The value to assign to the #dataset_type property



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# File 'lib/oci/generative_ai/models/dataset.rb', line 67

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.dataset_type = attributes[:'datasetType'] if attributes[:'datasetType']

  raise 'You cannot provide both :datasetType and :dataset_type' if attributes.key?(:'datasetType') && attributes.key?(:'dataset_type')

  self.dataset_type = attributes[:'dataset_type'] if attributes[:'dataset_type']
end

Instance Attribute Details

#dataset_type ⇒ String

[Required] The type of the data asset.

Returns:

  • (String) 


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# File 'lib/oci/generative_ai/models/dataset.rb', line 25

def dataset_type
  @dataset_type
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/dataset.rb', line 28

def self.attribute_map
  {
    # rubocop:disable Style/SymbolLiteral
    'dataset_type': :'datasetType'
    # rubocop:enable Style/SymbolLiteral
  }
end

.get_subtype(object_hash) ⇒ Object

Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.



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# File 'lib/oci/generative_ai/models/dataset.rb', line 50

def self.get_subtype(object_hash)
  type = object_hash[:'datasetType'] # rubocop:disable Style/SymbolLiteral

  return 'OCI::GenerativeAi::Models::ObjectStorageDataset' if type == 'OBJECT_STORAGE'

  # TODO: Log a warning when the subtype is not found.
  'OCI::GenerativeAi::Models::Dataset'
end

.swagger_types ⇒ Object

Attribute type mapping.



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# File 'lib/oci/generative_ai/models/dataset.rb', line 37

def self.swagger_types
  {
    # rubocop:disable Style/SymbolLiteral
    'dataset_type': :'String'
    # 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/dataset.rb', line 100

def ==(other)
  return true if equal?(other)

  self.class == other.class &&
    dataset_type == other.dataset_type
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/dataset.rb', line 130

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/dataset.rb', line 110

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/dataset.rb', line 119

def hash
  [dataset_type].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/dataset.rb', line 163

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/dataset.rb', line 157

def to_s
  to_hash.to_s
end