Module Mv_regression

module Mv_regression: sig .. end

module Variable: Test_metrics.Variable

val random_indices_in_place : int Core.Std.Array.t -> unit

val quantile_of_array : Core.Std.Float.t Core.Std.Array.t ->
       ?failures:Core.Std.Int.t ->
       len:Core.Std.Int.t ->
       low_quantile:float ->
       high_quantile:float -> Core.Std.Float.t * Core.Std.Float.t

module Coefficient: sig .. end

module Bootstrap: sig .. end

val r_square : float Core.Std.Array.t Core.Std.Array.t ->
       float Core.Std.Array.t ->
       Coefficient.t Core.Std.Array.t -> float

type mv_coefficients_and_rsquare = (Variable.t * Coefficient.t) array * float 

val do_regression : ?bootstrap_trials:Core.Std.Int.t ->
       predictors:Variable.t Core.Std.Array.t ->
       responder:[< `Compactions
                  | `Cycles
                  | `Major_allocated
                  | `Major_collections
                  | `Minor_allocated
                  | `Minor_collections
                  | `Nanos
                  | `One
                  | `Promoted
                  | `Runs ] ->
       test:Test.Basic_test.t ->
       Test_metrics.t Partial_array.t -> mv_coefficients_and_rsquare

val cache : ('a, mv_coefficients_and_rsquare) Core.Std.Int.Table.t_

val do_regression_memoize : ?bootstrap_trials:Core.Std.Int.t ->
       predictors:Variable.t Core.Std.Array.t ->
       responder:[< `Compactions
                  | `Cycles
                  | `Major_allocated
                  | `Major_collections
                  | `Minor_allocated
                  | `Minor_collections
                  | `Nanos
                  | `One
                  | `Promoted
                  | `Runs ] ->
       test:Test.Basic_test.t ->
       Test_metrics.t Partial_array.t -> mv_coefficients_and_rsquare