module Analysis_config: sig .. end
Each Analysis_config.t specifies a regression run by Core_bench. This module also
provides several typical regressions that one might want to run.
type
val create : responder:Bench.Variable.t ->
predictors:Bench.Variable.t list ->
?bootstrap_trials:int ->
?r_square:bool -> ?regression_name:string -> unit -> t
val with_error_estimation : ?bootstrap_trials:int -> t -> t
For any analysis t, return a new t that includes error estimation
val nanos_vs_runs : t
nanos_vs_runs predicts nanos using runs. In this regression and all of the ones
below, no error estimate is computed.
val cycles_vs_runs : t
cycles_vs_runs predicts cycles using runs.
val nanos : predictors:Bench.Variable.t list -> t
nanos ~predictors estimates nanos using specified predictors.
val cycles : predictors:Bench.Variable.t list -> t
similar to nanos
val allocations_vs_runs : t list
allocations_vs_runs estimates minor allocations, major allocations and
promotoions in terms of runs and overhead.
val gc_vs_runs : t list
allocations_vs_runs estimates minor collections, major collections and
compations in terms of runs.
val default : t list
A laundry list of several typical regressions: nanos_vs_runs,
allocations_vs_runs and gc_vs_runs.