Record Class LogisticRegression.Options

java.lang.Object
java.lang.Record
smile.classification.LogisticRegression.Options
Record Components:
lambda - lambda > 0 gives a "regularized" estimate of linear weights which often has superior generalization performance, especially when the dimensionality is high.
tol - the tolerance for stopping iterations.
maxIter - the maximum number of iterations.
Enclosing class:
LogisticRegression
public static record LogisticRegression.Options(double lambda, double tol, int maxIter) extends Record
Logistic regression hyperparameters.

  • Constructor Summary

    Constructors
    Constructor
    Description
    Options()
    Constructor.
    Options(double lambda, double tol, int maxIter)
    Constructor.

  • Method Summary

    Modifier and Type
    Method
    Description
    final boolean
    equals(Object o)
    Indicates whether some other object is "equal to" this one.
    final int
    hashCode()
    Returns a hash code value for this object.
    double
    lambda()
    Returns the value of the lambda record component.
    int
    maxIter()
    Returns the value of the maxIter record component.
    static LogisticRegression.Options
    of(Properties props)
    Returns the options from properties.
    double
    tol()
    Returns the value of the tol record component.
    Properties
    toProperties()
    Returns the persistent set of hyperparameters including smile.logistic.lambda smile.logistic.tolerance smile.logistic.iterations
    final String
    toString()
    Returns a string representation of this record class.

    Methods inherited from class Object

    clone, finalize, getClass, notify, notifyAll, wait, wait, wait

  • Constructor Details

    • Options

      public Options(double lambda, double tol, int maxIter)
      Constructor.

    • Options

      public Options()
      Constructor.

  • Method Details

    • toProperties

      public Properties toProperties()
      Returns the persistent set of hyperparameters including
      • smile.logistic.lambda
      • smile.logistic.tolerance
      • smile.logistic.iterations
      Returns:
      the persistent set.

    • of

      public static LogisticRegression.Options of(Properties props)
      Returns the options from properties.
      Parameters:
      props - the hyperparameters.
      Returns:
      the options.

    • toString

      public final String toString()
      Returns a string representation of this record class. The representation contains the name of the class, followed by the name and value of each of the record components.
      Specified by:
      toString in class Record
      Returns:
      a string representation of this object

    • hashCode

      public final int hashCode()
      Returns a hash code value for this object. The value is derived from the hash code of each of the record components.
      Specified by:
      hashCode in class Record
      Returns:
      a hash code value for this object

    • equals

      public final boolean equals(Object o)
      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. All components in this record class are compared with the compare method from their corresponding wrapper classes.
      Specified by:
      equals in class Record
      Parameters:
      o - the object with which to compare
      Returns:
      true if this object is the same as the o argument; false otherwise.

    • lambda

      public double lambda()
      Returns the value of the lambda record component.
      Returns:
      the value of the lambda record component

    • tol

      public double tol()
      Returns the value of the tol record component.
      Returns:
      the value of the tol record component

    • maxIter

      public int maxIter()
      Returns the value of the maxIter record component.
      Returns:
      the value of the maxIter record component