Package edu.cmu.tetrad.search.test

Enum Class Kci.KernelType

java.lang.Object
java.lang.Enum<Kci.KernelType>
edu.cmu.tetrad.search.test.Kci.KernelType
All Implemented Interfaces:
Serializable, Comparable<Kci.KernelType>, Constable
Enclosing class:
Kci
public static enum Kci.KernelType extends Enum<Kci.KernelType>
Represents the type of kernel to be used in a computation.
  • GAUSSIAN: Indicates the use of a Gaussian kernel, commonly used in various machine learning algorithms for its smooth and bell-shaped curve characteristics.
  • POLYNOMIAL: Represents a polynomial kernel, which is useful for problems requiring the representation of the input data in a higher-dimensional space.

  • Nested Class Summary

    Nested classes/interfaces inherited from class java.lang.Enum

    Enum.EnumDesc<E extends Enum<E>>

  • Enum Constant Summary

    Enum Constants
    Enum Constant
    Description
    GAUSSIAN
    Indicates the use of a Gaussian kernel, commonly used in various machine learning algorithms for its smooth and bell-shaped curve characteristics.
    LINEAR
    Represents the use of a linear kernel, typically employed when data is linearly separable or for problems that require linear decision boundaries.
    POLYNOMIAL
    Represents a polynomial kernel, which is useful for situations requiring the transformation of input data into a higher-dimensional space.

  • Method Summary

    Modifier and Type
    Method
    Description
    static Kci.KernelType
    valueOf(String name)
    Returns the enum constant of this class with the specified name.
    static Kci.KernelType[]
    values()
    Returns an array containing the constants of this enum class, in the order they are declared.

    Methods inherited from class java.lang.Enum

    compareTo, describeConstable, equals, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

    Methods inherited from class java.lang.Object

    getClass, notify, notifyAll, wait, wait, wait

  • Enum Constant Details

    • GAUSSIAN

      public static final Kci.KernelType GAUSSIAN
      Indicates the use of a Gaussian kernel, commonly used in various machine learning algorithms for its smooth and bell-shaped curve characteristics.

    • LINEAR

      public static final Kci.KernelType LINEAR
      Represents the use of a linear kernel, typically employed when data is linearly separable or for problems that require linear decision boundaries.

    • POLYNOMIAL

      public static final Kci.KernelType POLYNOMIAL
      Represents a polynomial kernel, which is useful for situations requiring the transformation of input data into a higher-dimensional space. This type of kernel computes the similarity between data points as a polynomial function of their attributes, allowing for the modeling of more complex patterns or structures in the data.

  • Method Details

    • values

      public static Kci.KernelType[] values()
      Returns an array containing the constants of this enum class, in the order they are declared.
      Returns:
      an array containing the constants of this enum class, in the order they are declared

    • valueOf

      public static Kci.KernelType valueOf(String name)
      Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum class has no constant with the specified name
      NullPointerException - if the argument is null