Condividi tramite


ForecastingModels.Sgd Field

Definition

SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs. It's an inexact but powerful technique.

public static Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.ForecastingModels Sgd;
 staticval mutable Sgd : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.ForecastingModels
Public Shared Sgd As ForecastingModels 

Field Value

Applies to