Class: OCI::AiDocument::Models::ModelMetrics
- Inherits:
-
Object
- Object
- OCI::AiDocument::Models::ModelMetrics
- Defined in:
- lib/oci/ai_document/models/model_metrics.rb
Overview
Trained Model Metrics. 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
DocumentClassificationModelMetrics, KeyValueDetectionModelMetrics, PreTrainedDocumentElementsExtractionModelDetails, PretrainedDocumentClassificationModelDetails, PretrainedKeyValueExtractionModelDetails, PretrainedTableExtractionModelDetails, PretrainedTextExtractionModelDetails
Constant Summary collapse
- MODEL_TYPE_ENUM =
[ MODEL_TYPE_KEY_VALUE_EXTRACTION = 'KEY_VALUE_EXTRACTION'.freeze, MODEL_TYPE_DOCUMENT_CLASSIFICATION = 'DOCUMENT_CLASSIFICATION'.freeze, MODEL_TYPE_PRE_TRAINED_TEXT_EXTRACTION = 'PRE_TRAINED_TEXT_EXTRACTION'.freeze, MODEL_TYPE_PRE_TRAINED_TABLE_EXTRACTION = 'PRE_TRAINED_TABLE_EXTRACTION'.freeze, MODEL_TYPE_PRE_TRAINED_KEY_VALUE_EXTRACTION = 'PRE_TRAINED_KEY_VALUE_EXTRACTION'.freeze, MODEL_TYPE_PRE_TRAINED_DOCUMENT_CLASSIFICATION = 'PRE_TRAINED_DOCUMENT_CLASSIFICATION'.freeze, MODEL_TYPE_PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION = 'PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION'.freeze, MODEL_TYPE_UNKNOWN_ENUM_VALUE = 'UNKNOWN_ENUM_VALUE'.freeze ].freeze
Instance Attribute Summary collapse
- #dataset_summary ⇒ OCI::AiDocument::Models::DatasetSummary
-
#model_type ⇒ String
[Required] The type of custom model trained.
Class Method Summary collapse
-
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
-
.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.
-
.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 = {}) ⇒ ModelMetrics
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 = {}) ⇒ ModelMetrics
Initializes the object
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 80 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.model_type = attributes[:'modelType'] if attributes[:'modelType'] raise 'You cannot provide both :modelType and :model_type' if attributes.key?(:'modelType') && attributes.key?(:'model_type') self.model_type = attributes[:'model_type'] if attributes[:'model_type'] self.dataset_summary = attributes[:'datasetSummary'] if attributes[:'datasetSummary'] raise 'You cannot provide both :datasetSummary and :dataset_summary' if attributes.key?(:'datasetSummary') && attributes.key?(:'dataset_summary') self.dataset_summary = attributes[:'dataset_summary'] if attributes[:'dataset_summary'] end |
Instance Attribute Details
#dataset_summary ⇒ OCI::AiDocument::Models::DatasetSummary
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 29 def dataset_summary @dataset_summary end |
#model_type ⇒ String
[Required] The type of custom model trained.
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 26 def model_type @model_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/ai_document/models/model_metrics.rb', line 32 def self.attribute_map { # rubocop:disable Style/SymbolLiteral 'model_type': :'modelType', 'dataset_summary': :'datasetSummary' # 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/ai_document/models/model_metrics.rb', line 56 def self.get_subtype(object_hash) type = object_hash[:'modelType'] # rubocop:disable Style/SymbolLiteral return 'OCI::AiDocument::Models::PreTrainedDocumentElementsExtractionModelDetails' if type == 'PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION' return 'OCI::AiDocument::Models::DocumentClassificationModelMetrics' if type == 'DOCUMENT_CLASSIFICATION' return 'OCI::AiDocument::Models::PretrainedDocumentClassificationModelDetails' if type == 'PRE_TRAINED_DOCUMENT_CLASSIFICATION' return 'OCI::AiDocument::Models::PretrainedTableExtractionModelDetails' if type == 'PRE_TRAINED_TABLE_EXTRACTION' return 'OCI::AiDocument::Models::KeyValueDetectionModelMetrics' if type == 'KEY_VALUE_EXTRACTION' return 'OCI::AiDocument::Models::PretrainedKeyValueExtractionModelDetails' if type == 'PRE_TRAINED_KEY_VALUE_EXTRACTION' return 'OCI::AiDocument::Models::PretrainedTextExtractionModelDetails' if type == 'PRE_TRAINED_TEXT_EXTRACTION' # TODO: Log a warning when the subtype is not found. 'OCI::AiDocument::Models::ModelMetrics' end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 42 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'model_type': :'String', 'dataset_summary': :'OCI::AiDocument::Models::DatasetSummary' # rubocop:enable Style/SymbolLiteral } end |
Instance Method Details
#==(other) ⇒ Object
Checks equality by comparing each attribute.
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 119 def ==(other) return true if equal?(other) self.class == other.class && model_type == other.model_type && dataset_summary == other.dataset_summary end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 150 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_document/models/model_metrics.rb', line 130 def eql?(other) self == other end |
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 139 def hash [model_type, dataset_summary].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/ai_document/models/model_metrics.rb', line 183 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_document/models/model_metrics.rb', line 177 def to_s to_hash.to_s end |