KMeansTrainer.Options Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.KMeansClustering.dll

Package:

Microsoft.ML v3.0.1

Options for the KMeansTrainer as used in KMeansTrainer(Options).

public sealed class KMeansTrainer.Options : Microsoft.ML.Trainers.UnsupervisedTrainerInputBaseWithWeight

type KMeansTrainer.Options = class
    inherit UnsupervisedTrainerInputBaseWithWeight

Public NotInheritable Class KMeansTrainer.Options
Inherits UnsupervisedTrainerInputBaseWithWeight

Inheritance

Object

TrainerInputBase

UnsupervisedTrainerInputBaseWithWeight

KMeansTrainer.Options

Constructors

KMeansTrainer.Options()

Fields

AccelerationMemoryBudgetMb	Memory budget (in MBs) to use for KMeans acceleration.
ExampleWeightColumnName	Column to use for example weight. (Inherited from UnsupervisedTrainerInputBaseWithWeight)
FeatureColumnName	Column to use for features. (Inherited from TrainerInputBase)
InitializationAlgorithm	Cluster initialization algorithm.
MaximumNumberOfIterations	Maximum number of iterations.
NumberOfClusters	The number of clusters.
NumberOfThreads	Degree of lock-free parallelism. Defaults to automatic. Determinism not guaranteed.
OptimizationTolerance	Tolerance parameter for trainer convergence. Low = slower, more accurate.