Class: Google::Apis::DocumentaiV1beta3::GoogleCloudDocumentaiV1beta3EvaluationMetrics
- Inherits:
-
Object
- Object
- Google::Apis::DocumentaiV1beta3::GoogleCloudDocumentaiV1beta3EvaluationMetrics
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/documentai_v1beta3/classes.rb,
lib/google/apis/documentai_v1beta3/representations.rb,
lib/google/apis/documentai_v1beta3/representations.rb
Overview
Evaluation metrics, either in aggregate or about a specific entity.
Instance Attribute Summary collapse
-
#f1_score ⇒ Float
The calculated f1 score.
-
#false_negatives_count ⇒ Fixnum
The amount of false negatives.
-
#false_positives_count ⇒ Fixnum
The amount of false positives.
-
#ground_truth_document_count ⇒ Fixnum
The amount of documents with a ground truth occurrence.
-
#ground_truth_occurrences_count ⇒ Fixnum
The amount of occurrences in ground truth documents.
-
#precision ⇒ Float
The calculated precision.
-
#predicted_document_count ⇒ Fixnum
The amount of documents with a predicted occurrence.
-
#predicted_occurrences_count ⇒ Fixnum
The amount of occurrences in predicted documents.
-
#recall ⇒ Float
The calculated recall.
-
#total_documents_count ⇒ Fixnum
The amount of documents that had an occurrence of this label.
-
#true_positives_count ⇒ Fixnum
The amount of true positives.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudDocumentaiV1beta3EvaluationMetrics
constructor
A new instance of GoogleCloudDocumentaiV1beta3EvaluationMetrics.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudDocumentaiV1beta3EvaluationMetrics
Returns a new instance of GoogleCloudDocumentaiV1beta3EvaluationMetrics.
8101 8102 8103 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8101 def initialize(**args) update!(**args) end |
Instance Attribute Details
#f1_score ⇒ Float
The calculated f1 score.
Corresponds to the JSON property f1Score
8049 8050 8051 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8049 def f1_score @f1_score end |
#false_negatives_count ⇒ Fixnum
The amount of false negatives.
Corresponds to the JSON property falseNegativesCount
8054 8055 8056 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8054 def false_negatives_count @false_negatives_count end |
#false_positives_count ⇒ Fixnum
The amount of false positives.
Corresponds to the JSON property falsePositivesCount
8059 8060 8061 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8059 def false_positives_count @false_positives_count end |
#ground_truth_document_count ⇒ Fixnum
The amount of documents with a ground truth occurrence.
Corresponds to the JSON property groundTruthDocumentCount
8064 8065 8066 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8064 def ground_truth_document_count @ground_truth_document_count end |
#ground_truth_occurrences_count ⇒ Fixnum
The amount of occurrences in ground truth documents.
Corresponds to the JSON property groundTruthOccurrencesCount
8069 8070 8071 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8069 def ground_truth_occurrences_count @ground_truth_occurrences_count end |
#precision ⇒ Float
The calculated precision.
Corresponds to the JSON property precision
8074 8075 8076 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8074 def precision @precision end |
#predicted_document_count ⇒ Fixnum
The amount of documents with a predicted occurrence.
Corresponds to the JSON property predictedDocumentCount
8079 8080 8081 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8079 def predicted_document_count @predicted_document_count end |
#predicted_occurrences_count ⇒ Fixnum
The amount of occurrences in predicted documents.
Corresponds to the JSON property predictedOccurrencesCount
8084 8085 8086 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8084 def predicted_occurrences_count @predicted_occurrences_count end |
#recall ⇒ Float
The calculated recall.
Corresponds to the JSON property recall
8089 8090 8091 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8089 def recall @recall end |
#total_documents_count ⇒ Fixnum
The amount of documents that had an occurrence of this label.
Corresponds to the JSON property totalDocumentsCount
8094 8095 8096 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8094 def total_documents_count @total_documents_count end |
#true_positives_count ⇒ Fixnum
The amount of true positives.
Corresponds to the JSON property truePositivesCount
8099 8100 8101 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8099 def true_positives_count @true_positives_count end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
8106 8107 8108 8109 8110 8111 8112 8113 8114 8115 8116 8117 8118 |
# File 'lib/google/apis/documentai_v1beta3/classes.rb', line 8106 def update!(**args) @f1_score = args[:f1_score] if args.key?(:f1_score) @false_negatives_count = args[:false_negatives_count] if args.key?(:false_negatives_count) @false_positives_count = args[:false_positives_count] if args.key?(:false_positives_count) @ground_truth_document_count = args[:ground_truth_document_count] if args.key?(:ground_truth_document_count) @ground_truth_occurrences_count = args[:ground_truth_occurrences_count] if args.key?(:ground_truth_occurrences_count) @precision = args[:precision] if args.key?(:precision) @predicted_document_count = args[:predicted_document_count] if args.key?(:predicted_document_count) @predicted_occurrences_count = args[:predicted_occurrences_count] if args.key?(:predicted_occurrences_count) @recall = args[:recall] if args.key?(:recall) @total_documents_count = args[:total_documents_count] if args.key?(:total_documents_count) @true_positives_count = args[:true_positives_count] if args.key?(:true_positives_count) end |