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SamplingAlgorithm Class

Definition

The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm Please note this is the abstract base class. The derived classes available for instantiation are: BayesianSamplingAlgorithm, GridSamplingAlgorithm, and RandomSamplingAlgorithm.

[System.ClientModel.Primitives.PersistableModelProxy(typeof(Azure.ResourceManager.MachineLearning.Models.UnknownSamplingAlgorithm))]
public abstract class SamplingAlgorithm : System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm>
public abstract class SamplingAlgorithm
[<System.ClientModel.Primitives.PersistableModelProxy(typeof(Azure.ResourceManager.MachineLearning.Models.UnknownSamplingAlgorithm))>]
type SamplingAlgorithm = class
    interface IJsonModel<SamplingAlgorithm>
    interface IPersistableModel<SamplingAlgorithm>
type SamplingAlgorithm = class
Public MustInherit Class SamplingAlgorithm
Implements IJsonModel(Of SamplingAlgorithm), IPersistableModel(Of SamplingAlgorithm)
Public MustInherit Class SamplingAlgorithm
Inheritance
SamplingAlgorithm
Derived
Attributes
Implements

Applies to