package modelkit
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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/Metadata/index.html
Module Modelkit.MetadataSource
Immutable, typed, row-aligned inputs for metadata-aware consumers. Metadata is supplied independently for each operation; fitted pipelines do not retain fit metadata for later inference.
val create :
?sample_weight:Sample_weight.t ->
?groups:Groups.t ->
?callback:Callback.t ->
unit ->
tval empty : tval sample_weight : t -> Sample_weight.t optionval callback : t -> Callback.t optionval of_dataset : ?callback:Callback.t -> _ Dataset.t -> tval select : t -> Row_view.t -> (t, Error.t) resultSelects weights and groups in exactly the row-view order; the callback is shared, not sliced. Source lengths are checked before selection.
Checks every supplied field, including fields ignored by consumers.
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