RandomSamplingAlgorithm Class

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.2.1

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Source:: RandomSamplingAlgorithm.cs

Source:: RandomSamplingAlgorithm.cs

Important

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Defines a Sampling Algorithm that generates values randomly.

public class RandomSamplingAlgorithm : Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.RandomSamplingAlgorithm>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.RandomSamplingAlgorithm>

public class RandomSamplingAlgorithm : Azure.ResourceManager.MachineLearning.Models.SamplingAlgorithm

type RandomSamplingAlgorithm = class
    inherit SamplingAlgorithm
    interface IJsonModel<RandomSamplingAlgorithm>
    interface IPersistableModel<RandomSamplingAlgorithm>

type RandomSamplingAlgorithm = class
    inherit SamplingAlgorithm

Public Class RandomSamplingAlgorithm
Inherits SamplingAlgorithm
Implements IJsonModel(Of RandomSamplingAlgorithm), IPersistableModel(Of RandomSamplingAlgorithm)

Public Class RandomSamplingAlgorithm
Inherits SamplingAlgorithm

Inheritance: Object

SamplingAlgorithm
RandomSamplingAlgorithm

Implements: IJsonModel<RandomSamplingAlgorithm> IPersistableModel<RandomSamplingAlgorithm> IPersistableModel<T>

Constructors

RandomSamplingAlgorithm()

Initializes a new instance of RandomSamplingAlgorithm.

Properties

Logbase	An optional positive number or e in string format to be used as base for log based random sampling.
Rule	The specific type of random algorithm.
Seed	An optional integer to use as the seed for random number generation.

Explicit Interface Implementations

IJsonModel<RandomSamplingAlgorithm>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.
IJsonModel<RandomSamplingAlgorithm>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter.
IJsonModel<SamplingAlgorithm>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model. (Inherited from SamplingAlgorithm)
IJsonModel<SamplingAlgorithm>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter. (Inherited from SamplingAlgorithm)
IPersistableModel<RandomSamplingAlgorithm>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model.
IPersistableModel<RandomSamplingAlgorithm>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.
IPersistableModel<RandomSamplingAlgorithm>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData.
IPersistableModel<SamplingAlgorithm>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model. (Inherited from SamplingAlgorithm)
IPersistableModel<SamplingAlgorithm>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service. (Inherited from SamplingAlgorithm)
IPersistableModel<SamplingAlgorithm>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData. (Inherited from SamplingAlgorithm)

Applies to

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