Class MeanAbsolutePercentageError

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
BaseLoss
MeanAbsolutePercentageError
Inherited Members
Namespace: SiaNet.Losses
Assembly: SiaNet.dll
Syntax
public class MeanAbsolutePercentageError : BaseLoss

Constructors

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MeanAbsolutePercentageError()

Initializes a new instance of the MeanAbsolutePercentageError class.

Declaration
public MeanAbsolutePercentageError()

Methods

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Backward(Tensor, Tensor)

Backpropagation method to calculate gradient of the loss function

Declaration
public override Tensor Backward(Tensor preds, Tensor labels)
Parameters
Type Name Description
Tensor preds

The predicted result.
Tensor labels

The true result.
Returns
Type Description
Tensor
Overrides
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Forward(Tensor, Tensor)

Forwards the inputs and calculate the loss.

Declaration
public override Tensor Forward(Tensor preds, Tensor labels)
Parameters
Type Name Description
Tensor preds

The predicted result.
Tensor labels

The true result.
Returns
Type Description
Tensor
Overrides

See Also