# GaussianEstimator

#### class GaussianEstimator extends Serializable

Gaussian incremental estimator that uses incremental method, more resilient to floating point imprecision. For more info see Donald Knuth's "The Art of Computer Programming, Volume 2: Seminumerical Algorithms", section 4.2.2.

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### Value Members

1. #### final def !=(arg0: AnyRef): Boolean

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2. #### final def !=(arg0: Any): Boolean

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3. #### final def ##(): Int

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4. #### final def ==(arg0: AnyRef): Boolean

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5. #### final def ==(arg0: Any): Boolean

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6. #### final def asInstanceOf[T0]: T0

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10. #### def clone(): AnyRef

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11. #### final def eq(arg0: AnyRef): Boolean

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12. #### def equals(arg0: Any): Boolean

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13. #### def finalize(): Unit

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14. #### final def getClass(): Class[_]

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15. #### def getMean(): Double

Returns the mean value

Returns the mean value

returns

the mean value

16. #### def hashCode(): Int

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17. #### final def isInstanceOf[T0]: Boolean

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19. #### def merge(that: GaussianEstimator, trySplit: Boolean): GaussianEstimator

Merge current GaussianEstimator with another one.

Merge current GaussianEstimator with another one.

that

the GaussianEstimator to be merged

trySplit

flag indicating whether the Hoeffding Tree tries to split

returns

the new GaussianEstimator

20. #### final def ne(arg0: AnyRef): Boolean

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22. #### final def notify(): Unit

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23. #### final def notifyAll(): Unit

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24. #### def observe(value: Double, weight: Double): Unit

Observe the data and update the Gaussian estimator

Observe the data and update the Gaussian estimator

value

value of a feature

weight

weight of the Example

25. #### def probabilityDensity(value: Double): Double

Returns the cumulative probability of the input value in the current distribution.

Returns the cumulative probability of the input value in the current distribution.

value

the value

returns

the cumulative probability

26. #### def stdDev(): Double

Returns the standard deviation

Returns the standard deviation

returns

the standard deviation

27. #### final def synchronized[T0](arg0: ⇒ T0): T0

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28. #### def toString(): String

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29. #### def totalWeight(): Double

Returns the total weight

Returns the total weight

returns

the total weight

30. #### def tripleWeights(splitValue: Double): Array[Double]

Returns an array of weights which have the sum less than, equal to, and greater than the split value.

Returns an array of weights which have the sum less than, equal to, and greater than the split value.

splitValue

the value of the split

returns

the resulting Array of values

31. #### def variance(): Double

Returns the variance

Returns the variance

returns

the variance

33. #### final def wait(): Unit

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34. #### final def wait(arg0: Long, arg1: Int): Unit

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35. #### final def wait(arg0: Long): Unit

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