package modelkit

You can search for identifiers within the package.

in-package search v0.2.0

Module `Randomized_search.Regression`

type model = Cross_validation.Regression.model

val search : 
  ?return_train_score:bool ->
  ?failure_policy:Cross_validation.failure_policy ->
  ?execution:Execution.t ->
  ?metadata:Metadata.t ->
  ?checkpoint:'configuration Search_checkpoint.t ->
  ?custom_scorers:
    (Target.regression Target.t, Target.regression Target.t) Scorer.t array ->
  space:
    ('configuration, Target.regression Target.t, Target.regression Target.t)
      space ->
  splitter:Target.regression Target.t Cross_validation.splitter ->
  scorers:Regression_scorer.t array ->
  refit:string ->
  seed:Seed.t ->
  Target.regression Dataset.t ->
  (model report, Error.t) result

val search_with_policy : 
  ?return_train_score:bool ->
  ?failure_policy:Cross_validation.failure_policy ->
  ?execution:Execution.t ->
  ?metadata:Metadata.t ->
  ?checkpoint:'configuration Search_checkpoint.t ->
  ?custom_scorers:
    (Target.regression Target.t, Target.regression Target.t) Scorer.t array ->
  space:
    ('configuration, Target.regression Target.t, Target.regression Target.t)
      space ->
  splitter:Target.regression Target.t Cross_validation.splitter ->
  scorers:Regression_scorer.t array ->
  policy:model Grid_search.refit_policy ->
  seed:Seed.t ->
  Target.regression Dataset.t ->
  (model report, Error.t) result

package modelkit

Module Randomized_search.Regression

Module `Randomized_search.Regression`