Reference documentation and code samples for the Cloud AutoML V1beta1 Client class RegressionEvaluationMetrics.
Metrics for regression problems.
Generated from protobuf message google.cloud.automl.v1beta1.RegressionEvaluationMetrics
Namespace
Google \ Cloud \ AutoMl \ V1beta1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ root_mean_squared_error
float
Output only. Root Mean Squared Error (RMSE).
↳ mean_absolute_error
float
Output only. Mean Absolute Error (MAE).
↳ mean_absolute_percentage_error
float
Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
↳ r_squared
float
Output only. R squared.
↳ root_mean_squared_log_error
float
Output only. Root mean squared log error.
getRootMeanSquaredError
Output only. Root Mean Squared Error (RMSE).
float
setRootMeanSquaredError
Output only. Root Mean Squared Error (RMSE).
var
float
$this
getMeanAbsoluteError
Output only. Mean Absolute Error (MAE).
float
setMeanAbsoluteError
Output only. Mean Absolute Error (MAE).
var
float
$this
getMeanAbsolutePercentageError
Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
float
setMeanAbsolutePercentageError
Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
var
float
$this
getRSquared
Output only. R squared.
float
setRSquared
Output only. R squared.
var
float
$this
getRootMeanSquaredLogError
Output only. Root mean squared log error.
float
setRootMeanSquaredLogError
Output only. Root mean squared log error.
var
float
$this
