Class MeanAbsoluteError

Mean Absolute Error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes

Inheritance
System.Object
BaseLoss
MeanAbsoluteError
Inherited Members
Namespace: SiaNet.Losses
Assembly: SiaNet.dll
Syntax
public class MeanAbsoluteError : BaseLoss

Constructors

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MeanAbsoluteError()

Initializes a new instance of the MeanAbsoluteError class.

Declaration
public MeanAbsoluteError()

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