PoissonLoss Class
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Poisson Loss function for Poisson Regression.
public sealed class PoissonLoss : Microsoft.ML.Trainers.ILossFunction<float,float>, Microsoft.ML.Trainers.IRegressionLosstype PoissonLoss = class
interface IRegressionLoss
interface IScalarLoss
interface ILossFunction<single, single>Public NotInheritable Class PoissonLoss
Implements ILossFunction(Of Single, Single), IRegressionLoss- Inheritance
-
PoissonLoss
- Implements
Remarks
The Poisson Loss function is defined as:
$L(\hat{y}, y) = e^{\hat{y}} - y\hat{y}$
where $\hat{y}$ is the predicted value, $y$ is the true label.
Constructors
| PoissonLoss() |
Methods
| Derivative(Single, Single) | |
| Loss(Single, Single) |