package modelkit

You can search for identifiers within the package.

in-package search v0.2.0

ModelKit

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Module `Randomized_search.Binary_classification`

type model = Cross_validation.Binary_classification.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.classification Target.t, Binary_prediction.t) Scorer.t array ->
  space:
    ('configuration,
      Target.classification Target.t,
      Target.classification Target.t)
      space ->
  splitter:Target.classification Target.t Cross_validation.splitter ->
  scorers:Binary_classification_scorer.t array ->
  refit:string ->
  seed:Seed.t ->
  Target.classification 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.classification Target.t, Binary_prediction.t) Scorer.t array ->
  space:
    ('configuration,
      Target.classification Target.t,
      Target.classification Target.t)
      space ->
  splitter:Target.classification Target.t Cross_validation.splitter ->
  scorers:Binary_classification_scorer.t array ->
  policy:model Grid_search.refit_policy ->
  seed:Seed.t ->
  Target.classification Dataset.t ->
  (model report, Error.t) result

package modelkit

Module Randomized_search.Binary_classification

Module `Randomized_search.Binary_classification`