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**Submitting author:** @ablaom (Anthony Blaom)
**Repository:** https://github.com/alan-turing-institute/MLJ.jl
**Version:** v0.14.1
**Editor:** @terrytangyuan
**Reviewer:** @degleris1, @henrykironde
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Hi everyone,
I noticed that the PCA imported from MultivariateStats does not have an inverse_transform method : `info("PCA").implemented_methods` yields
> 4-element Array{Symbol,1}:
:clean!
:…
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**Describe the bug**
KMeans `transform` is not working.
**To Reproduce**
```julia
using MLJ
@load KMeans
m = KMeans()
X = rand(100,2)
theta = MLJ.fit(m, 0, X)
MLJ.transform(m, the…
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First I will train a model that works `LGBMRegressor`, then two that don't:
ARDRegressor (breaks @ fit(), "PyError", which you're aware of)
EvoTreeRegressor (breaks @ machine(), "MethodError") @jer…
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Further context: https://github.com/alan-turing-institute/MLJModels.jl/issues/234
This requires implementation of
```julia
coerce(::Arr{T}, ::Type{scitype1, col2=>scitype2, ... ; verbosity=1)
…
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Following the discussion with JLBoost, I'm not super happy with the status quo.
At the moment, package devs who want to interface with MLJ from their package have to load MLJBase to do so. They …
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**Describe the bug**
On loading the LDA model as below, I got this evaluation error. I think the model is working fine as I can initiate the object `lda_model = LDA()`. This also happens when loadi…
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Hi,
I am using `@pipeline` to construct a MLJ pipeline with my custom pre-processor. This is a classifier problem and I used `LDA` from `MultivariateStats`. Basically, this is my custom transformer…
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**Describe the bug**
Currently some clustering models like `KMeans` return a vector of `Int` as prediction:
```Julia
that = MLJBase.predict(model, theta, X)
```
but I think it would be more u…
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Hi, I am implementing correlation-based feature selection technique. The idea is to filter the variable with (Pearson) correlation to target variable is less than a threshold, or select `n` variables …