class Google::Apis::BigqueryV2::RegressionMetrics
Evaluation metrics for regression and explicit feedback type matrix factorization models.
Attributes
mean_absolute_error[RW]
Mean absolute error. Corresponds to the JSON property `meanAbsoluteError` @return [Float]
mean_squared_error[RW]
Mean squared error. Corresponds to the JSON property `meanSquaredError` @return [Float]
mean_squared_log_error[RW]
Mean squared log error. Corresponds to the JSON property `meanSquaredLogError` @return [Float]
median_absolute_error[RW]
Median absolute error. Corresponds to the JSON property `medianAbsoluteError` @return [Float]
r_squared[RW]
R^2 score. This corresponds to r2_score in ML.EVALUATE. Corresponds to the JSON property `rSquared` @return [Float]
Public Class Methods
new(**args)
click to toggle source
# File lib/google/apis/bigquery_v2/classes.rb, line 5557 def initialize(**args) update!(**args) end
Public Instance Methods
update!(**args)
click to toggle source
Update properties of this object
# File lib/google/apis/bigquery_v2/classes.rb, line 5562 def update!(**args) @mean_absolute_error = args[:mean_absolute_error] if args.key?(:mean_absolute_error) @mean_squared_error = args[:mean_squared_error] if args.key?(:mean_squared_error) @mean_squared_log_error = args[:mean_squared_log_error] if args.key?(:mean_squared_log_error) @median_absolute_error = args[:median_absolute_error] if args.key?(:median_absolute_error) @r_squared = args[:r_squared] if args.key?(:r_squared) end