package oml

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in-package search v0.2.0

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val mean : float array -> float

val median : float array -> float

val var : float array -> float

val unbiased_var : float array -> float

val population_var : float -> float array -> float

val covariance : float array -> float array -> float

val correlation : float array -> float array -> float

val autocorrelation : int -> float array -> float

val moment : int -> float array -> float

val skew : float array -> float

val unbiased_skew : float array -> float

val kurtosis : float array -> float

val unbiased_kurtosis : float array -> float

val var_standard_error : float array -> float

val skew_standard_error : float array -> float

val kurtosis_standard_error : float array -> float

val var_statistic : float array -> float

val skew_statistic : float array -> float

val kurtosis_statistic : float array -> float

type skew_classification = [

]

val classify_skew : float array -> skew_classification

type kurtosis_classification = [

]

val classify_kurtosis : float array -> kurtosis_classification

type summary = {

}

val unbiased_summary : float array -> summary

val histogram : 
  [ `Buckets of int | `Specific of float array | `Width of float ] ->
  float array ->
  (float * int) array

val geometric_mean : float array -> float

val harmonic_mean : float array -> float

val spearman : float array -> float array -> float