Class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry

Entry for the Quantiles loss type optimization objective.

Inheritance

object

GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1beta1.Data

Assembly: Google.Apis.Aiplatform.v1beta1.dll

Syntax

public class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

ObservedQuantile

This is a custom metric that calculates the percentage of true values that were less than the predicted value for that quantile. Only populated when optimization_objective is minimize-quantile-loss and each entry corresponds to an entry in quantiles The percent value can be used to compare with the quantile value, which is the target value.

Declaration

[JsonProperty("observedQuantile")]
public virtual double? ObservedQuantile { get; set; }

Property Value

Type	Description
double?

Quantile

The quantile for this entry.

Declaration

[JsonProperty("quantile")]
public virtual double? Quantile { get; set; }

Property Value

Type	Description
double?

ScaledPinballLoss

The scaled pinball loss of this quantile.

Declaration

[JsonProperty("scaledPinballLoss")]
public virtual float? ScaledPinballLoss { get; set; }

Property Value

Type	Description
float?

Implements

IDirectResponseSchema