Class: Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics
- Inherits:
-
Object
- Object
- Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics
- Defined in:
- lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb
Overview
Metrics for regression problems.
Instance Attribute Summary collapse
-
#mean_absolute_error ⇒ Float
Output only.
-
#mean_absolute_percentage_error ⇒ Float
Output only.
-
#r_squared ⇒ Float
Output only.
-
#root_mean_squared_error ⇒ Float
Output only.
-
#root_mean_squared_log_error ⇒ Float
Output only.
Instance Attribute Details
#mean_absolute_error ⇒ Float
Returns Output only. Mean Absolute Error (MAE).
37 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb', line 37 class RegressionEvaluationMetrics; end |
#mean_absolute_percentage_error ⇒ Float
Returns Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
37 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb', line 37 class RegressionEvaluationMetrics; end |
#r_squared ⇒ Float
Returns Output only. R squared.
37 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb', line 37 class RegressionEvaluationMetrics; end |
#root_mean_squared_error ⇒ Float
Returns Output only. Root Mean Squared Error (RMSE).
37 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb', line 37 class RegressionEvaluationMetrics; end |
#root_mean_squared_log_error ⇒ Float
Returns Output only. Root mean squared log error.
37 |
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb', line 37 class RegressionEvaluationMetrics; end |