StochasticOptimizer Struct

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.1.1

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

Source:: StochasticOptimizer.cs

Source:: StochasticOptimizer.cs

Important

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Stochastic optimizer for image models.

public readonly struct StochasticOptimizer : IEquatable<Azure.ResourceManager.MachineLearning.Models.StochasticOptimizer>

type StochasticOptimizer = struct

Public Structure StochasticOptimizer
Implements IEquatable(Of StochasticOptimizer)

Inheritance: ValueType
StochasticOptimizer

Implements: IEquatable<StochasticOptimizer>

Constructors

StochasticOptimizer(String)

Initializes a new instance of StochasticOptimizer.

Properties

Adam	Adam is algorithm the optimizes stochastic objective functions based on adaptive estimates of moments.
Adamw	AdamW is a variant of the optimizer Adam that has an improved implementation of weight decay.
None	No optimizer selected.
Sgd	Stochastic Gradient Descent optimizer.

Methods

Equals(StochasticOptimizer)	Indicates whether the current object is equal to another object of the same type.
ToString()	Returns the fully qualified type name of this instance.

Operators

Equality(StochasticOptimizer, StochasticOptimizer)	Determines if two StochasticOptimizer values are the same.
Implicit(String to StochasticOptimizer)	Converts a string to a StochasticOptimizer.
Inequality(StochasticOptimizer, StochasticOptimizer)	Determines if two StochasticOptimizer values are not the same.

Applies to