Class: Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/regression.rb

Overview

Metrics for regression problems.

Instance Attribute Summary collapse

Instance Attribute Details

#mean_absolute_errorFloat

Returns Output only. Mean Absolute Error (MAE).

Returns:

  • (Float)

    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_errorFloat

Returns Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.

Returns:

  • (Float)

    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_squaredFloat

Returns Output only. R squared.

Returns:

  • (Float)

    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_errorFloat

Returns Output only. Root Mean Squared Error (RMSE).

Returns:

  • (Float)

    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_errorFloat

Returns Output only. Root mean squared log error.

Returns:

  • (Float)

    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