package owl

  1. Overview
  2. Docs
package owl
Legend:
Library
Module
Module type
Parameter
Class
Class type

NLP: LDA module

Type definition
type lda_typ =
  1. | SimpleLDA
  2. | FTreeLDA
  3. | LightLDA
  4. | SparseLDA
    (*

    Type of LDA training algorithms.

    *)
type model

Type of LDA model.

Core functions
val init : ?iter:int -> int -> (string, int) Stdlib.Hashtbl.t -> Owl_nlp_corpus.t -> model

``init ~iter k v d`` inits an LDA model for training. The default iteration is 100.

Parameters: * ``iter``: number of iterations. * ``k``: number of topics. * ``v``: vocabulary. * ``d``: corpus.

val train : lda_typ -> model -> unit

After calling ``init``, calling this function starts the training.

Helper functions
val show_info : model -> int -> float -> unit

Function for printing out log information, tailored for LDA training.

val include_token : model -> int -> int -> int -> unit

Include a token in model, used in training and you are not supposed to use it.

val exclude_token : model -> int -> int -> int -> unit

Exclude a token in model, used in training and you are not supposed to use it.

OCaml

Innovation. Community. Security.

GitHub Discord Twitter Peertube RSS
About
Changelog Releases Industrial Users Academic Users Why OCaml
Ecosystem
Packages Community Events OCaml Planet Jobs
Resources
Install OCaml Get Started Platform Tools Language Manual Standard Library API Books Exercises Papers OCaml Playground Logo
Policies
Carbon Footprint Governance Privacy Code of Conduct