KMeansTrainer.Options Class
Definition
Important
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Options for the KMeansTrainer as used in KMeansTrainer(Options).
public sealed class KMeansTrainer.Options : Microsoft.ML.Trainers.UnsupervisedTrainerInputBaseWithWeighttype KMeansTrainer.Options = class
inherit UnsupervisedTrainerInputBaseWithWeightPublic NotInheritable Class KMeansTrainer.Options
Inherits UnsupervisedTrainerInputBaseWithWeight- Inheritance
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. |