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RegressionModels.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.RegressionModels Sgd;
 staticval mutable Sgd : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.RegressionModels
Public Shared Sgd As RegressionModels 

Field Value

Applies to