Comments (5)
I only implemented RidgeRegressor from there.
from mlj.jl.
That would be wonderful!!
Regarding competing algorithms, let me continue the discussion here
from mlj.jl.
Just a warning. If you are implementing transformers rather than supervised models (e.g. PCA) then there is no coerce
method and the user may present the input X
to fit/predict in any Query.jl iterable table format. Ideally, transform
will then be an object of the same data type (assuming it is a supported sink type). So you will need some familiarity with Query.jl. I am currently working on some more MLJBase utilities to make this less painful but WIP.
from mlj.jl.
Ok thanks, I will try and might again need some guidance in a WIP PR. I thought I'd mimic some of the stuff that you looked at for MultivariateStats
from mlj.jl.
The transformers we have live in src/builtins/Transformers.jl
, the best example is Standardizer
. However, it is not in a good state but I am working on that right now.
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Related Issues (20)
- SymbolicRegression.jl — registry update HOT 2
- Is the Averager documentation deprecated? HOT 2
- Update deprecated document example in "Transformers ..." section of manual
- `fit!` not exported in 0.19.3/0.19.4? HOT 2
- is there support for segmented or nested models? HOT 1
- Doc generation is failing silently HOT 2
- A de-correlation model for feature exclusion HOT 1
- [Tracking] Migration of measures MLJBase.jl -> StatisticalMeasures.jl HOT 1
- Add more examples of exported learning networks
- Confusing Julia code in adding_models_for_general_use.md HOT 1
- Include MLJBalancing.jl in MLJ and re-export it's names.
- Update docs for new class imbalance support
- Add new sk-learn models to the docs
- Export the name `MLJFlow` HOT 1
- `evaluate` errors HOT 3
- Add AutoEncoderMLJ model (part of BetaML) HOT 10
- need a tutorial for using logger with dagshub and mlflow HOT 4
- Document how to add plot recipes in a new model implementation HOT 4
- Add new model descriptors to fix doc-generation fail HOT 1
- Two models fail integration tests but defy isolation
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