Class ModelOptions

Namespace

AiDotNet.Models.Options

Assembly

AiDotNet.dll

public abstract class ModelOptions

Inheritance

object

ModelOptions

Derived

ClassifierOptions<T>

DGCNNOptions

DecisionTreeOptions

DiffusionModelOptions<T>

GaussianSplattingOptions

InstantNGPOptions<T>

NeRFOptions

NonLinearRegressionOptions

OptimizationAlgorithmOptions<T, TInput, TOutput>

PointNetOptions

PointNetPlusPlusOptions

RegressionOptions<T>

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

Seed

Gets or sets the random seed for reproducibility.

public int? Seed { get; set; }

Property Value

int?

The random seed value, or null if randomness should not be controlled.

Remarks

For Beginners: This is like setting the starting point for a random number generator. If you set a specific seed value, the "random" decisions the algorithm makes will be the same each time you run it. This is useful when you want consistent results or when debugging. If left as null (the default), the algorithm will make truly random decisions each time it runs.