Class Poisson

Poisson loss function is a measure of how the predicted distribution diverges from the expected distribution, the poisson as loss function is a variant from Poisson Distribution, where the poisson distribution is widely used for modeling count data. It can be shown to be the limiting distribution for a normal approximation to a binomial where the number of trials goes to infinity and the probability goes to zero and both happen at such a rate that np is equal to some mean frequency for the process.

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

Constructors

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Poisson()

Initializes a new instance of the Poisson class.

Declaration
public Poisson()

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