In the python scikit-learn the linear model SGDRegressor, and others, support sample weights for training. I could not guess how to access this through the ScikitLearn.jl interface. Is this not supported?

```
using ScikitLearn
@sk_import linear_model: SGDRegressor
model = SGDRegressor()
X = randn(100, 4)
y = X[:,1] - 2X[:,2] + 0.05*randn(100)
w = rand(100)
# works:
fit!(model, X, y)
# none of these work:
fit!(model, X, y, sample_weights=w) # scikit-learn syntax
fit!(model, X, y, weights=w)
fit!(model, X, y, w)
```