Class GKGaussianDistribution

  • All Implemented Interfaces:
    GKRandom, NSObject

    public class GKGaussianDistribution
    extends GKRandomDistribution
    A gaussian distribution is biased towards the mean value, the possible outcomes are spread out from the mean with decreasing probability. Values within 1 deviation of the mean make up 68.27% of the distribution, values within 2 deviations make up 95% and values within 3 deviations make up 99.7%. Note that a gaussian distribution's unbounded behavior beyond 3 deviations is undesired, thus this distribution deviates nominally by modifying the bounds to 3 deviations. Thus values within 3 deviations actually make up 100% of the distribution.
    • Constructor Detail

      • GKGaussianDistribution

        protected GKGaussianDistribution​(org.moe.natj.general.Pointer peer)
    • Method Detail

      • accessInstanceVariablesDirectly

        public static boolean accessInstanceVariablesDirectly()
      • allocWithZone

        public static GKGaussianDistribution allocWithZone​(org.moe.natj.general.ptr.VoidPtr zone)
      • automaticallyNotifiesObserversForKey

        public static boolean automaticallyNotifiesObserversForKey​(@NotNull
                                                                   @NotNull java.lang.String key)
      • cancelPreviousPerformRequestsWithTarget

        public static void cancelPreviousPerformRequestsWithTarget​(@NotNull
                                                                   @NotNull java.lang.Object aTarget)
      • cancelPreviousPerformRequestsWithTargetSelectorObject

        public static void cancelPreviousPerformRequestsWithTargetSelectorObject​(@NotNull
                                                                                 @NotNull java.lang.Object aTarget,
                                                                                 @NotNull
                                                                                 @NotNull org.moe.natj.objc.SEL aSelector,
                                                                                 @Nullable
                                                                                 @Nullable java.lang.Object anArgument)
      • classFallbacksForKeyedArchiver

        @NotNull
        public static @NotNull NSArray<java.lang.String> classFallbacksForKeyedArchiver()
      • classForKeyedUnarchiver

        @NotNull
        public static @NotNull org.moe.natj.objc.Class classForKeyedUnarchiver()
      • debugDescription_static

        public static java.lang.String debugDescription_static()
      • description_static

        public static java.lang.String description_static()
      • distributionForDieWithSideCount

        public static GKGaussianDistribution distributionForDieWithSideCount​(long sideCount)
      • distributionWithLowestValueHighestValue

        public static GKGaussianDistribution distributionWithLowestValueHighestValue​(long lowestInclusive,
                                                                                     long highestInclusive)
      • hash_static

        public static long hash_static()
      • instanceMethodSignatureForSelector

        public static NSMethodSignature instanceMethodSignatureForSelector​(org.moe.natj.objc.SEL aSelector)
      • instancesRespondToSelector

        public static boolean instancesRespondToSelector​(org.moe.natj.objc.SEL aSelector)
      • isSubclassOfClass

        public static boolean isSubclassOfClass​(org.moe.natj.objc.Class aClass)
      • keyPathsForValuesAffectingValueForKey

        @NotNull
        public static @NotNull NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey​(@NotNull
                                                                                             @NotNull java.lang.String key)
      • resolveClassMethod

        public static boolean resolveClassMethod​(org.moe.natj.objc.SEL sel)
      • resolveInstanceMethod

        public static boolean resolveInstanceMethod​(org.moe.natj.objc.SEL sel)
      • setVersion_static

        public static void setVersion_static​(long aVersion)
      • superclass_static

        public static org.moe.natj.objc.Class superclass_static()
      • version_static

        public static long version_static()
      • deviation

        public float deviation()
        The deviation, often called 'sigma', is the deviation from the mean that would include roughly 68% of the distribution. The range of the distribution is [mean - 3 * deviation, mean + 3 * deviation]. Values beyond 3 deviations are considered so improbable that they are removed from the output set.
      • initWithRandomSourceLowestValueHighestValue

        public GKGaussianDistribution initWithRandomSourceLowestValueHighestValue​(@NotNull
                                                                                  @NotNull GKRandom source,
                                                                                  long lowestInclusive,
                                                                                  long highestInclusive)
        Initializes a Gaussian random distribution within the range [lowest, highest] using a source to grab input values from. This sets the gaussian parameters to: mean = (highest + lowest) / 2 deviation = (highest - lowest) / 6 The mean and deviation will be floating point numbers even if the distribution is meant to produce integer values.
        Overrides:
        initWithRandomSourceLowestValueHighestValue in class GKRandomDistribution
        See Also:
        mean(), deviation()
      • initWithRandomSourceMeanDeviation

        public GKGaussianDistribution initWithRandomSourceMeanDeviation​(@NotNull
                                                                        @NotNull GKRandom source,
                                                                        float mean,
                                                                        float deviation)
        Initializes a Gaussian random distribution within the range [mean - 3 * deviation, mean + 3 * deviation] using a source to grab input values from.
      • mean

        public float mean()
        The mean, or expected, value of the distribution. Values are more probable the closer to the mean they are.
      • useStoredAccessor

        @Deprecated
        public static boolean useStoredAccessor()
        Deprecated.