Class GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics
Metrics for regression evaluation results.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics : IDirectResponseSchema
Properties
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
MeanAbsoluteError
Mean Absolute Error (MAE).
Declaration
[JsonProperty("meanAbsoluteError")]
public virtual float? MeanAbsoluteError { get; set; }
Property Value
Type | Description |
---|---|
float? |
MeanAbsolutePercentageError
Mean absolute percentage error. Infinity when there are zeros in the ground truth.
Declaration
[JsonProperty("meanAbsolutePercentageError")]
public virtual float? MeanAbsolutePercentageError { get; set; }
Property Value
Type | Description |
---|---|
float? |
RSquared
Coefficient of determination as Pearson correlation coefficient. Undefined when ground truth or predictions are constant or near constant.
Declaration
[JsonProperty("rSquared")]
public virtual float? RSquared { get; set; }
Property Value
Type | Description |
---|---|
float? |
RootMeanSquaredError
Root Mean Squared Error (RMSE).
Declaration
[JsonProperty("rootMeanSquaredError")]
public virtual float? RootMeanSquaredError { get; set; }
Property Value
Type | Description |
---|---|
float? |
RootMeanSquaredLogError
Root mean squared log error. Undefined when there are negative ground truth values or predictions.
Declaration
[JsonProperty("rootMeanSquaredLogError")]
public virtual float? RootMeanSquaredLogError { get; set; }
Property Value
Type | Description |
---|---|
float? |