Object/Trait

breeze.stats

DescriptiveStats

Related Docs: trait DescriptiveStats | package stats

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object DescriptiveStats

Provides utilities for descriptive statistics, like the mean and variance.

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def cov[T](it1: Iterable[T], it2: Iterable[T])(implicit n: Fractional[T]): Any

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    Returns covariance between two vectors.

    Returns covariance between two vectors.

    Note: Will happily compute covariance between vectors of different lengths by truncating the longer vector.

  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def meanAndCov[T](it1: TraversableOnce[T], it2: TraversableOnce[T])(implicit frac: Fractional[T]): (T, T, Any)

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    Returns both means and covariance between two vectors.

    Returns both means and covariance between two vectors. Single pass algorithm.

    Note: Will happily compute covariance between vectors of different lengths by truncating the longer vector.

  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def percentile(it: TraversableOnce[Double], p: Double): Double

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    returns the estimate of the data at p * it.size, where p in [0,1]

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

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  19. def toString(): String

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  20. final def wait(): Unit

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  22. final def wait(arg0: Long): Unit

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