Package ai.libs.jaicore.math.gradientdescent

Interface IGradientDescentOptimizerConfig

  • All Superinterfaces:
    org.aeonbits.owner.Config, org.aeonbits.owner.Mutable, java.io.Serializable
    @Sources("file:conf/opt/graddesc.properties")
public interface IGradientDescentOptimizerConfig
extends org.aeonbits.owner.Mutable

    • Nested Class Summary

      • Nested classes/interfaces inherited from interface org.aeonbits.owner.Config

        org.aeonbits.owner.Config.ConverterClass, org.aeonbits.owner.Config.DecryptorClass, org.aeonbits.owner.Config.DefaultValue, org.aeonbits.owner.Config.DisableableFeature, org.aeonbits.owner.Config.DisableFeature, org.aeonbits.owner.Config.EncryptedValue, org.aeonbits.owner.Config.HotReload, org.aeonbits.owner.Config.HotReloadType, org.aeonbits.owner.Config.Key, org.aeonbits.owner.Config.LoadPolicy, org.aeonbits.owner.Config.LoadType, org.aeonbits.owner.Config.PreprocessorClasses, org.aeonbits.owner.Config.Separator, org.aeonbits.owner.Config.Sources, org.aeonbits.owner.Config.TokenizerClass

    • Field Summary

      Fields 
      Modifier and Type Field Description
      static java.lang.String GRAD_DESC_GRADIENT_THRESHOLD
      Specifies a threshold for the gradient (i.e. if the gradient is below this value no update will be done; if all gradients are below this value, the algorithm will terminate)
      static java.lang.String GRAD_DESC_LEARNING_RATE
      The learning rate in the update step (i.e. how much of the gradient should be added to the parameter)
      static java.lang.String GRAD_DESC_MAX_ITERATIONS
      Specifies the maximum of gradient update steps.

    • Field Detail

      • GRAD_DESC_MAX_ITERATIONS

        static final java.lang.String GRAD_DESC_MAX_ITERATIONS
        Specifies the maximum of gradient update steps. Can be set to -1 to specify no threshold (the algorithm may not terminate in this case).
        See Also:
        Constant Field Values

      • GRAD_DESC_LEARNING_RATE

        static final java.lang.String GRAD_DESC_LEARNING_RATE
        The learning rate in the update step (i.e. how much of the gradient should be added to the parameter)
        See Also:
        Constant Field Values

      • GRAD_DESC_GRADIENT_THRESHOLD

        static final java.lang.String GRAD_DESC_GRADIENT_THRESHOLD
        Specifies a threshold for the gradient (i.e. if the gradient is below this value no update will be done; if all gradients are below this value, the algorithm will terminate)
        See Also:
        Constant Field Values

    • Method Detail

      • maxIterations

        @Key("graddesc.max_iterations")
@DefaultValue("20")
int maxIterations()

      • learningRate

        @Key("gradedesc.learning_rate")
@DefaultValue("0.01")
double learningRate()

      • gradientThreshold

        @Key("graddesc.gradient_threshold")
@DefaultValue("0.001")
double gradientThreshold()