package modelkit
Portable classical machine learning workflows for OCaml
Install
dune-project
Dependency
Authors
Maintainers
Sources
modelkit-0.5.0.tbz
sha256=1fe8fa7c7f904dd098a21a2ca30fd69230750b8cf8aa2ae481b97a16531b47b4
sha512=c946cd1ac014726f4d21791e14d806a205680e6edfa2f80ed8d3680f24f48ca3c5a2f89d5afa68c11eac4053ead448b6381fb3d06dc8ff129097af6c69b262fb
doc/modelkit/Modelkit/Grid_search/Multiclass_classification/index.html
Module Grid_search.Multiclass_classification
type model = Cross_validation.Multiclass_classification.modelval 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, Multiclass_prediction.t) Scorer.t array ->
grid:
('configuration,
Target.classification Target.t,
Target.classification Target.t)
grid ->
splitter:Target.classification Target.t Cross_validation.splitter ->
scorers:Multiclass_classification_scorer.t array ->
refit:string ->
seed:Seed.t ->
Target.classification Dataset.t ->
(model report, Error.t) resultval 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, Multiclass_prediction.t) Scorer.t array ->
grid:
('configuration,
Target.classification Target.t,
Target.classification Target.t)
grid ->
splitter:Target.classification Target.t Cross_validation.splitter ->
scorers:Multiclass_classification_scorer.t array ->
policy:model refit_policy ->
seed:Seed.t ->
Target.classification Dataset.t ->
(model report, Error.t) result