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breeze.stats

DescriptiveStats

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

    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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  11. final def isInstanceOf[T0]: Boolean
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  12. def meanAndCov[T](it1: TraversableOnce[T], it2: TraversableOnce[T])(implicit frac: Fractional[T]): (T, T, Any)

    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.

  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. def percentile(it: TraversableOnce[Double], p: Double): Double

    Returns the estimate of the data at p * it.size after copying and sorting, where p in [0,1].

  17. def percentileInPlace(arr: Array[Double], p: Double): Double

    Returns the estimate of a pre-sorted array at p * it.size, where p in [0,1].

    Returns the estimate of a pre-sorted array at p * it.size, where p in [0,1].

    Note: Result is invalid if the input array is not already sorted.

  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  1. def finalize(): Unit
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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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