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.
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3202 def initialize(**args) update!(**args) end |
Instance Attribute Details
#mean_absolute_error ⇒ Float
Mean Absolute Error (MAE).
Corresponds to the JSON property meanAbsoluteError
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3174 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
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3180 def mean_absolute_percentage_error @mean_absolute_percentage_error end |
#r_squared ⇒ Float
R squared.
Corresponds to the JSON property rSquared
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3185 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
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3190 def regression_metrics_entries @regression_metrics_entries end |
#root_mean_squared_error ⇒ Float
Root Mean Squared Error (RMSE).
Corresponds to the JSON property rootMeanSquaredError
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3195 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
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3200 def root_mean_squared_log_error @root_mean_squared_log_error end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/language_v1beta2/classes.rb', line 3207 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 |