Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1ModelEvaluation

Returns a new instance of GoogleCloudAiplatformV1ModelEvaluation.



15155
15156
15157
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15155

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#annotation_schema_uri ⇒ String

Points to a YAML file stored on Google Cloud Storage describing EvaluatedDataItemView.predictions, EvaluatedDataItemView.ground_truths, EvaluatedAnnotation.predictions, and EvaluatedAnnotation.ground_truths. The schema is defined as an OpenAPI 3.0.2 Schema Object. This field is not populated if there are neither EvaluatedDataItemViews nor EvaluatedAnnotations under this ModelEvaluation. Corresponds to the JSON property annotationSchemaUri

Returns:

  • (String) 


15088
15089
15090
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15088

def annotation_schema_uri
  @annotation_schema_uri
end

#create_time ⇒ String

Output only. Timestamp when this ModelEvaluation was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


15093
15094
15095
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15093

def create_time
  @create_time
end

#data_item_schema_uri ⇒ String

Points to a YAML file stored on Google Cloud Storage describing EvaluatedDataItemView.data_item_payload and EvaluatedAnnotation. data_item_payload. The schema is defined as an OpenAPI 3.0.2 Schema Object. This field is not populated if there are neither EvaluatedDataItemViews nor EvaluatedAnnotations under this ModelEvaluation. Corresponds to the JSON property dataItemSchemaUri

Returns:

  • (String) 


15103
15104
15105
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15103

def data_item_schema_uri
  @data_item_schema_uri
end

#display_name ⇒ String

The display name of the ModelEvaluation. Corresponds to the JSON property displayName

Returns:

  • (String) 


15108
15109
15110
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15108

def display_name
  @display_name
end

#explanation_specs ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec>

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data. Corresponds to the JSON property explanationSpecs

Returns:



15114
15115
15116
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15114

def explanation_specs
  @explanation_specs
end

#metadata ⇒ Object

The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of " pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", " row_based_metrics_path". Corresponds to the JSON property metadata

Returns:

  • (Object) 


15122
15123
15124
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15122

def metadata
  @metadata
end

#metrics ⇒ Object

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri Corresponds to the JSON property metrics

Returns:

  • (Object) 


15128
15129
15130
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15128

def metrics
  @metrics
end

#metrics_schema_uri ⇒ String

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object. Corresponds to the JSON property metricsSchemaUri

Returns:

  • (String) 


15136
15137
15138
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15136

def metrics_schema_uri
  @metrics_schema_uri
end

#model_explanation ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelExplanation

Aggregated explanation metrics for a Model over a set of instances. Corresponds to the JSON property modelExplanation

Returns:



15141
15142
15143
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15141

def model_explanation
  @model_explanation
end

#name ⇒ String

Output only. The resource name of the ModelEvaluation. Corresponds to the JSON property name

Returns:

  • (String) 


15146
15147
15148
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15146

def name
  @name
end

#slice_dimensions ⇒ Array<String>

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension =. Corresponds to the JSON property sliceDimensions

Returns:

  • (Array<String>) 


15153
15154
15155
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15153

def slice_dimensions
  @slice_dimensions
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



15160
15161
15162
15163
15164
15165
15166
15167
15168
15169
15170
15171
15172
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15160

def update!(**args)
  @annotation_schema_uri = args[:annotation_schema_uri] if args.key?(:annotation_schema_uri)
  @create_time = args[:create_time] if args.key?(:create_time)
  @data_item_schema_uri = args[:data_item_schema_uri] if args.key?(:data_item_schema_uri)
  @display_name = args[:display_name] if args.key?(:display_name)
  @explanation_specs = args[:explanation_specs] if args.key?(:explanation_specs)
  @metadata = args[:metadata] if args.key?(:metadata)
  @metrics = args[:metrics] if args.key?(:metrics)
  @metrics_schema_uri = args[:metrics_schema_uri] if args.key?(:metrics_schema_uri)
  @model_explanation = args[:model_explanation] if args.key?(:model_explanation)
  @name = args[:name] if args.key?(:name)
  @slice_dimensions = args[:slice_dimensions] if args.key?(:slice_dimensions)
end