Class: Google::Apis::BigqueryV2::EvaluationMetrics

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

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.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ EvaluationMetrics

Returns a new instance of EvaluationMetrics.



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1927

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

Instance Attribute Details

#arima_forecasting_metrics ⇒ Google::Apis::BigqueryV2::ArimaForecastingMetrics

Model evaluation metrics for ARIMA forecasting models. Corresponds to the JSON property arimaForecastingMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1893

def arima_forecasting_metrics
  @arima_forecasting_metrics
end

#binary_classification_metrics ⇒ Google::Apis::BigqueryV2::BinaryClassificationMetrics

Evaluation metrics for binary classification/classifier models. Corresponds to the JSON property binaryClassificationMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1898

def binary_classification_metrics
  @binary_classification_metrics
end

#clustering_metrics ⇒ Google::Apis::BigqueryV2::ClusteringMetrics

Evaluation metrics for clustering models. Corresponds to the JSON property clusteringMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1903

def clustering_metrics
  @clustering_metrics
end

#dimensionality_reduction_metrics ⇒ Google::Apis::BigqueryV2::DimensionalityReductionMetrics

Model evaluation metrics for dimensionality reduction models. Corresponds to the JSON property dimensionalityReductionMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1908

def dimensionality_reduction_metrics
  @dimensionality_reduction_metrics
end

#multi_class_classification_metrics ⇒ Google::Apis::BigqueryV2::MultiClassClassificationMetrics

Evaluation metrics for multi-class classification/classifier models. Corresponds to the JSON property multiClassClassificationMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1913

def multi_class_classification_metrics
  @multi_class_classification_metrics
end

#ranking_metrics ⇒ Google::Apis::BigqueryV2::RankingMetrics

Evaluation metrics used by weighted-ALS models specified by feedback_type= implicit. Corresponds to the JSON property rankingMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1919

def ranking_metrics
  @ranking_metrics
end

#regression_metrics ⇒ Google::Apis::BigqueryV2::RegressionMetrics

Evaluation metrics for regression and explicit feedback type matrix factorization models. Corresponds to the JSON property regressionMetrics

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 1925

def regression_metrics
  @regression_metrics
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 1932

def update!(**args)
  @arima_forecasting_metrics = args[:arima_forecasting_metrics] if args.key?(:arima_forecasting_metrics)
  @binary_classification_metrics = args[:binary_classification_metrics] if args.key?(:binary_classification_metrics)
  @clustering_metrics = args[:clustering_metrics] if args.key?(:clustering_metrics)
  @dimensionality_reduction_metrics = args[:dimensionality_reduction_metrics] if args.key?(:dimensionality_reduction_metrics)
  @multi_class_classification_metrics = args[:multi_class_classification_metrics] if args.key?(:multi_class_classification_metrics)
  @ranking_metrics = args[:ranking_metrics] if args.key?(:ranking_metrics)
  @regression_metrics = args[:regression_metrics] if args.key?(:regression_metrics)
end