Record Class SpectralClustering.Options
java.lang.Object
java.lang.Record
smile.clustering.SpectralClustering.Options
- Record Components:
k- the number of clusters.l- the number of random samples for Nystrom approximation. Uses 0 to disable approximation.sigma- the smooth/width parameter of Gaussian kernel, which is a somewhat sensitive parameter. To search for the best setting, one may pick the value that gives the tightest clusters (smallest distortion) in feature space.maxIter- the maximum number of iterations.tol- the tolerance of convergence test.controller- the optional training controller.
- Enclosing class:
SpectralClustering
public static record SpectralClustering.Options(int k, int l, double sigma, int maxIter, double tol, IterativeAlgorithmController<AlgoStatus> controller)
extends Record
Spectral clustering hyperparameters.
-
Constructor Summary
ConstructorsConstructorDescriptionOptions(int k, double sigma, int maxIter) Constructor.Options(int k, int l, double sigma, int maxIter) Constructor.Options(int k, int l, double sigma, int maxIter, double tol, IterativeAlgorithmController<AlgoStatus> controller) Constructor. -
Method Summary
Modifier and TypeMethodDescriptionReturns the value of thecontrollerrecord component.final booleanIndicates whether some other object is "equal to" this one.final inthashCode()Returns a hash code value for this object.intk()Returns the value of thekrecord component.intl()Returns the value of thelrecord component.intmaxIter()Returns the value of themaxIterrecord component.static SpectralClustering.Optionsof(Properties props) Returns the options from properties.doublesigma()Returns the value of thesigmarecord component.doubletol()Returns the value of thetolrecord component.Returns the persistent set of hyperparameters.final StringtoString()Returns a string representation of this record class.
-
Constructor Details
-
Options
public Options(int k, int l, double sigma, int maxIter, double tol, IterativeAlgorithmController<AlgoStatus> controller) Constructor. -
Options
public Options(int k, double sigma, int maxIter) Constructor.- Parameters:
k- the number of clusters.sigma- the smooth/width parameter of Gaussian kernel.maxIter- the maximum number of iterations.
-
Options
public Options(int k, int l, double sigma, int maxIter) Constructor.- Parameters:
k- the number of clusters.l- the number of random samples for Nystrom approximation. Uses 0 to disable approximation.sigma- the smooth/width parameter of Gaussian kernel.maxIter- the maximum number of iterations.
-
-
Method Details
-
toProperties
Returns the persistent set of hyperparameters.- Returns:
- the persistent set.
-
of
Returns the options from properties.- Parameters:
props- the hyperparameters.- Returns:
- the options.
-
toString
-
hashCode
-
equals
Indicates whether some other object is "equal to" this one. The objects are equal if the other object is of the same class and if all the record components are equal. Reference components are compared withObjects::equals(Object,Object); primitive components are compared with thecomparemethod from their corresponding wrapper classes. -
k
-
l
-
sigma
-
maxIter
-
tol
-
controller
Returns the value of thecontrollerrecord component.- Returns:
- the value of the
controllerrecord component
-