Error when loading `ContinuousEncoder`

[LucasMatSP]

The following line suddenly started running into an error saying MLJModels doesn't provide this model.

ContinuousEncoder = @load ContinuousEncoder pkg = MLJModels

Checking the docs for changes about this transformer, I noticed a strange description:

A model type for constructing a continuous encoder, based on unknown.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
ContinuousEncoder = @load ContinuousEncoder pkg=unknown

Changing my code to bring ContinuousEncoder from MLJTransforms instead solved the problem, so this is mostly a docs problem.

Environment:

julia> versioninfo()
Julia Version 1.10.10
Commit 95f30e51f41 (2025-06-27 09:51 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 96 × Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, icelake-server)
Threads: 1 default, 0 interactive, 1 GC (on 96 virtual cores)
Environment:
  JULIA_DEPOT_PATH = /home/jrun/data/.julia:/home/jrun/.julia:
  JULIA_PKG_SERVER = internal.juliahub.com
  JULIA_VSCODE_LANGUAGESERVER_CHANNEL = 1.10.10
  JULIA_PKG_USE_CLI_GIT = true
  JULIA_EDITOR = code
  JULIA_VSCODE_REPL = 1

(code) pkg> st
Status `/mnt/data/code/Project.toml`
  [336ed68f] CSV v0.10.15
  [aaaa29a8] Clustering v0.15.8
  [a93c6f00] DataFrames v1.8.0
  [b4f34e82] Distances v0.10.12
  [f6006082] EvoTrees v0.17.4
  [ec8451be] KernelFunctions v0.10.65
  [add582a8] MLJ v0.21.0
  [d354fa79] MLJClusteringInterface v0.1.13
  [1b6a4a23] MLJMultivariateStatsInterface v0.5.3
  [23777cdb] MLJTransforms v0.1.1
  [6f286f6a] MultivariateStats v0.10.3
  [636a865e] NearestNeighborModels v0.2.3
  [37e2e46d] LinearAlgebra
  [9a3f8284] Random
  [10745b16] Statistics v1.10.0

[ablaom]

In versions MLJ 0.20 this model is now owned by MLJTransforms. Actually, if you do using MLJ you don't need to @load it - it has always been immediately available.

using MLJ
ContinuousEncoder()

See also the release notes

To see all built-in models, do local models().

Thanks for reporting the docs issue. It has been resolved at MLJTransforms.jl but we need to update the MLJ model registry, and may need to tag a new release of MLJTransforms.jl. I'll look into this today.

[ablaom]

Should be closed by #1182