Class: Google::Apis::LanguageV1beta2::XpsRegressionEvaluationMetrics
- Inherits:
 - 
      Object
      
        
- Object
 - Google::Apis::LanguageV1beta2::XpsRegressionEvaluationMetrics
 
 
- Includes:
 - Core::Hashable, Core::JsonObjectSupport
 
- Defined in:
 - lib/google/apis/language_v1beta2/classes.rb,
lib/google/apis/language_v1beta2/representations.rb,
lib/google/apis/language_v1beta2/representations.rb 
Overview
Model evaluation metrics for regression problems. It can be used for Tables.
Instance Attribute Summary collapse
- 
  
    
      #mean_absolute_error  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
Mean Absolute Error (MAE).
 - 
  
    
      #mean_absolute_percentage_error  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
Mean absolute percentage error.
 - 
  
    
      #r_squared  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
R squared.
 - 
  
    
      #regression_metrics_entries  ⇒ Array<Google::Apis::LanguageV1beta2::XpsRegressionMetricsEntry> 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
A list of actual versus predicted points for the model being evaluated.
 - 
  
    
      #root_mean_squared_error  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
Root Mean Squared Error (RMSE).
 - 
  
    
      #root_mean_squared_log_error  ⇒ Float 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
Root mean squared log error.
 
Instance Method Summary collapse
- 
  
    
      #initialize(**args)  ⇒ XpsRegressionEvaluationMetrics 
    
    
  
  
  
    constructor
  
  
  
  
  
  
  
    
A new instance of XpsRegressionEvaluationMetrics.
 - 
  
    
      #update!(**args)  ⇒ Object 
    
    
  
  
  
  
  
  
  
  
  
    
Update properties of this object.
 
Constructor Details
#initialize(**args) ⇒ XpsRegressionEvaluationMetrics
Returns a new instance of XpsRegressionEvaluationMetrics.
      3207 3208 3209  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3207 def initialize(**args) update!(**args) end  | 
  
Instance Attribute Details
#mean_absolute_error ⇒ Float
Mean Absolute Error (MAE).
Corresponds to the JSON property meanAbsoluteError
      3179 3180 3181  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3179 def mean_absolute_error @mean_absolute_error end  | 
  
#mean_absolute_percentage_error ⇒ Float
Mean absolute percentage error. Only set if all ground truth values are
positive.
Corresponds to the JSON property meanAbsolutePercentageError
      3185 3186 3187  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3185 def mean_absolute_percentage_error @mean_absolute_percentage_error end  | 
  
#r_squared ⇒ Float
R squared.
Corresponds to the JSON property rSquared
      3190 3191 3192  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3190 def r_squared @r_squared end  | 
  
#regression_metrics_entries ⇒ Array<Google::Apis::LanguageV1beta2::XpsRegressionMetricsEntry>
A list of actual versus predicted points for the model being evaluated.
Corresponds to the JSON property regressionMetricsEntries
      3195 3196 3197  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3195 def regression_metrics_entries @regression_metrics_entries end  | 
  
#root_mean_squared_error ⇒ Float
Root Mean Squared Error (RMSE).
Corresponds to the JSON property rootMeanSquaredError
      3200 3201 3202  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3200 def root_mean_squared_error @root_mean_squared_error end  | 
  
#root_mean_squared_log_error ⇒ Float
Root mean squared log error.
Corresponds to the JSON property rootMeanSquaredLogError
      3205 3206 3207  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3205 def root_mean_squared_log_error @root_mean_squared_log_error end  | 
  
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
      3212 3213 3214 3215 3216 3217 3218 3219  | 
    
      # File 'lib/google/apis/language_v1beta2/classes.rb', line 3212 def update!(**args) @mean_absolute_error = args[:mean_absolute_error] if args.key?(:mean_absolute_error) @mean_absolute_percentage_error = args[:mean_absolute_percentage_error] if args.key?(:mean_absolute_percentage_error) @r_squared = args[:r_squared] if args.key?(:r_squared) @regression_metrics_entries = args[:regression_metrics_entries] if args.key?(:regression_metrics_entries) @root_mean_squared_error = args[:root_mean_squared_error] if args.key?(:root_mean_squared_error) @root_mean_squared_log_error = args[:root_mean_squared_log_error] if args.key?(:root_mean_squared_log_error) end  |