Class MAPE

The mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting method in statistics, for example in trend estimation, also used as a Loss function for regression problems in Machine Learning.

Inheritance

System.Object

BaseMetric

MAPE

Inherited Members

BaseMetric.Name

Namespace: SiaNet.Metrics

Assembly: SiaNet.dll

Syntax

public class MAPE : BaseMetric

Constructors

MAPE()

Initializes a new instance of the MAPE class.

Declaration

public MAPE()

Methods

Calc(Tensor, Tensor)

Calculates the metric with predicted and true values.

Declaration

public override Tensor Calc(Tensor preds, Tensor labels)

Parameters

Type	Name	Description
Tensor	preds	The predicted value.
Tensor	labels	The true value.

Returns

Type	Description
Tensor

Overrides

BaseMetric.Calc(Tensor, Tensor)

See Also

BaseMetric