Comments (10)
tlienart
commented on June 13, 2024
3
Hello! great that you'd like to use MLJ as the default interface and awesome for PLS; I'd be happy if we could run some comparisons with the more classic models in MLJLinearModels.jl at some point.
I have a fair few comments for the MLJ interface (e.g.: you don't need to using MLJ), would you guys mind
- adding me as a collaborator
- opening a PR from your
#mljbranch so that I can comment on it?
thanks!
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azev77
commented on June 13, 2024
2
@ablaom @tlienart check out this package. They are working on an MLJ interface.
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filipebraida
commented on June 13, 2024
1
Yes, we are.
However, we are currently working on a big project and I don't know if we would be able to change PLS in the short term.
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azev77
commented on June 13, 2024
1
Sounds good.
Btw, porting a package to MLJ usually involves adding one script to the repo.
For example: ParallelKmeans.jl does this in mlj_interface.jl.
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lalvim
commented on June 13, 2024
1
Hi,
We are finalizing the validation of the mlj branch. We decided to set the
interface as the default. The PLS algorithm is one of the best regression
algorithms for few data and its implementation is unusual. For example, we
can not find this in scikit. The same is true for the non-linear version.
We hope that one day it can be integrated into MLJ. We also have another
package called perceptrons (https://github.com/lalvim/Perceptrons.jl) that
contains several versions (voted, averaged, ...) of the perceptron
algorithm. This is yet to be adapted to the MLJ interface. It is also not
common in libraries.
Em qua., 3 de jun. de 2020 às 00:26, azev77 <[email protected]>
escreveu:
… @ablaom <https://github.com/ablaom> @tlienart
<https://github.com/tlienart> check out this package. They are working on
an MLJ interface
<https://github.com/lalvim/PLSRegressor.jl/blob/mlj/src/mlj_interface.jl>.
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Best Regards,
D.Sc. Leandro G. M. Alvim.
Professor Adjunto do Departamento de Ciência da Computação (DCC)
Instituto Multidisciplinar (IM) - Campus Nova Iguaçu
Universidade Federal Rural do Rio de Janeiro (UFRRJ)
Skype: lgmalvim
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filipebraida
commented on June 13, 2024
Thanks. I'll check with @lalvim to do this. It seems to be easy to porting.
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lalvim
commented on June 13, 2024
Hi, I just portted the package to mlj in a branch named mlj.
As soon as possible, I will merge to the master and make official.
Out of curiosity, how did you discover the package? Are you part of the mlj
team?
Em sex., 1 de mai. de 2020 às 17:58, Filipe Braida <[email protected]>
escreveu:
… Thanks. I'll check with @lalvim <https://github.com/lalvim> to do this.
It seems to be easy to porting.
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or unsubscribe
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*------------------------------------------------------------------------------*
*"Dave Bowman: Open the pod bay doors, HAL. *
*HAL: I’m sorry Dave, I’m afraid I can’t do that." *
Best Regards,
D.Sc. Leandro G. M. Alvim.
Professor Adjunto do Departamento de Ciência da Computação (DCC)
Instituto Multidisciplinar (IM) - Campus Nova Iguaçu
Universidade Federal Rural do Rio de Janeiro (UFRRJ)
Skype: lgmalvim
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azev77
commented on June 13, 2024
@lalvim soinds great.
I discovered MLJ, by searching google “ML in Julia...”
I discovered your package, searching PLS julia
I try to contribute to MLJ a little when I can.
Check out my script to automatically run all appropriate MLJ models:
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filipebraida
commented on June 13, 2024
Thank you for your help!
I created the PR and added you as a reviewer.
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ablaom
commented on June 13, 2024
@filipebraida I think this can be closed, no?
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Related Issues (18)
- PLS2 regressor worse than baseline for unifrom random data HOT 7
- Possible improvement analysing scikit implementation
- Package announcement? HOT 6
- Diagnostics
- Improve prediction time
- Add SIMPLS
- Add Documentation HOT 1
- kpls.jl trainer contains unused (but populated) matrix
- Extract Loading and Score plot HOT 2
- Output of fitted_params(mach) and report(mach) is a bit confusing HOT 2
- Question about model.P attribute
- Regressors failing for some kinds of data HOT 1
- Error tagging new release
- Example 1 does not work HOT 4
- ERROR: Unsatisfiable requirements detected for package PLSRegressor [fba1ee03]:
- Info about upcoming removal of packages in the General registry
- check_constant_cols doesn't work on Adjoint HOT 1
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