package modelkit

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in-package search v0.2.0

Portable classical machine learning workflows for OCaml

Install

dune-project

Dependency

github.com Readme Changelog Edit opam file Versions (4)

Authors

A

Asara

Maintainers

A

Asara developers <devs@asara.io>

Sources

modelkit-0.5.0.tbz

sha256=1fe8fa7c7f904dd098a21a2ca30fd69230750b8cf8aa2ae481b97a16531b47b4

sha512=c946cd1ac014726f4d21791e14d806a205680e6edfa2f80ed8d3680f24f48ca3c5a2f89d5afa68c11eac4053ead448b6381fb3d06dc8ff129097af6c69b262fb

doc/modelkit/Modelkit/module-type-METADATA_ESTIMATOR/index.html

Module type `Modelkit.METADATA_ESTIMATOR`Source

Estimator with a declared fit-metadata request. Prediction uses fitted state and features; pipeline preprocessing may separately request inference metadata.

include SPECIFICATION

Sourcetype t

Sourcetype params

Sourceval clone : t -> t

Sourceval params : t -> params

Sourcetype target

Sourcetype prediction

Sourcetype fitted

Sourcetype rng

Sourceval fit_request : t -> Metadata.Request.t

Source

val fit : 
  t ->
  metadata:Metadata.t ->
  rng:rng ->
  feature_schema:Feature_schema.t ->
  x:Matrix.t ->
  y:target ->
  unit ->
  (fitted, Error.t) result

Source

val predict : 
  fitted ->
  feature_schema:Feature_schema.t ->
  x:Matrix.t ->
  (prediction, Error.t) result

Sourceval fitted_params : fitted -> params

Sourceval feature_schema : fitted -> Feature_schema.t