Class: Google::Apis::BigqueryV2::TrainingRun

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/bigquery_v2/classes.rb,
lib/google/apis/bigquery_v2/representations.rb,
lib/google/apis/bigquery_v2/representations.rb

Overview

Information about a single training query run for the model.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ TrainingRun

Returns a new instance of TrainingRun.



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12137

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

Instance Attribute Details

#class_level_global_explanations ⇒ Array<Google::Apis::BigqueryV2::GlobalExplanation>

Output only. Global explanation contains the explanation of top features on the class level. Applies to classification models only. Corresponds to the JSON property classLevelGlobalExplanations

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12085

def class_level_global_explanations
  @class_level_global_explanations
end

#data_split_result ⇒ Google::Apis::BigqueryV2::DataSplitResult

Data split result. This contains references to the training and evaluation data tables that were used to train the model. Corresponds to the JSON property dataSplitResult

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12091

def data_split_result
  @data_split_result
end

#evaluation_metrics ⇒ Google::Apis::BigqueryV2::EvaluationMetrics

Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models. Corresponds to the JSON property evaluationMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12098

def evaluation_metrics
  @evaluation_metrics
end

#model_level_global_explanation ⇒ Google::Apis::BigqueryV2::GlobalExplanation

Global explanations containing the top most important features after training. Corresponds to the JSON property modelLevelGlobalExplanation

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12103

def model_level_global_explanation
  @model_level_global_explanation
end

#results ⇒ Array<Google::Apis::BigqueryV2::IterationResult>

Output only. Output of each iteration run, results.size() <= max_iterations. Corresponds to the JSON property results

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12108

def results
  @results
end

#start_time ⇒ String

Output only. The start time of this training run. Corresponds to the JSON property startTime

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12113

def start_time
  @start_time
end

#training_options ⇒ Google::Apis::BigqueryV2::TrainingOptions

Options used in model training. Corresponds to the JSON property trainingOptions

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12118

def training_options
  @training_options
end

#training_start_time ⇒ Fixnum

Output only. The start time of this training run, in milliseconds since epoch. Corresponds to the JSON property trainingStartTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12123

def training_start_time
  @training_start_time
end

#vertex_ai_model_id ⇒ String

The model id in the Vertex AI Model Registry for this training run. Corresponds to the JSON property vertexAiModelId

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12129

def vertex_ai_model_id
  @vertex_ai_model_id
end

#vertex_ai_model_version ⇒ String

Output only. The model version in the Vertex AI Model Registry for this training run. Corresponds to the JSON property vertexAiModelVersion

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12135

def vertex_ai_model_version
  @vertex_ai_model_version
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 12142

def update!(**args)
  @class_level_global_explanations = args[:class_level_global_explanations] if args.key?(:class_level_global_explanations)
  @data_split_result = args[:data_split_result] if args.key?(:data_split_result)
  @evaluation_metrics = args[:evaluation_metrics] if args.key?(:evaluation_metrics)
  @model_level_global_explanation = args[:model_level_global_explanation] if args.key?(:model_level_global_explanation)
  @results = args[:results] if args.key?(:results)
  @start_time = args[:start_time] if args.key?(:start_time)
  @training_options = args[:training_options] if args.key?(:training_options)
  @training_start_time = args[:training_start_time] if args.key?(:training_start_time)
  @vertex_ai_model_id = args[:vertex_ai_model_id] if args.key?(:vertex_ai_model_id)
  @vertex_ai_model_version = args[:vertex_ai_model_version] if args.key?(:vertex_ai_model_version)
end