Class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetrics

Metrics for forecasting evaluation results.

Inheritance

object

GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetrics

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 GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetrics : 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?

QuantileMetrics

The quantile metrics entries for each quantile.

Declaration

[JsonProperty("quantileMetrics")]
public virtual IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry> QuantileMetrics { get; set; }

Property Value

Type	Description
IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry>

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?

RootMeanSquaredPercentageError

Root Mean Square Percentage Error. Square root of MSPE. Undefined/imaginary when MSPE is negative.

Declaration

[JsonProperty("rootMeanSquaredPercentageError")]
public virtual float? RootMeanSquaredPercentageError { get; set; }

Property Value

Type	Description
float?

WeightedAbsolutePercentageError

Weighted Absolute Percentage Error. Does not use weights, this is just what the metric is called. Undefined if actual values sum to zero. Will be very large if actual values sum to a very small number.

Declaration

[JsonProperty("weightedAbsolutePercentageError")]
public virtual float? WeightedAbsolutePercentageError { get; set; }

Property Value

Type	Description
float?

Implements

IDirectResponseSchema