Good Day:

II am attempting to create an ROC_CURVE

with Lighthouse.jl. I am attempting to generate

one with the MLJ.@load_boston dataset.

My general questions are:

- How do I designate class? names(df)?

Should I:

```
classes = ["class $i" for i in 1:5]
```

- What should I use as my curve value?

I was able to create one using:

```
curve_clf = MLJ.learning_curve(clf, feat, targ,range=r_clf,
resampling=MLJ.Holdout(fraction_train=0.8),
measure=MLJ.cross_entropy)
```

or should I:

```
curves = [(LinRange(0, 1, 10), range(0, stop=i/2, length=10) .+ (stable_randn(10) .* 0.1)) for i in -1:3]
```

(Extra: In this case, how would I prefix stable_rand?)

In all I would like to apply Lighthouse.plot_roc_curves). But

am having trouble choosing a starting point.

Does anyone have experience with Lighthouse or is there

some other variety (not from SciKitLearn.jl) that is practical

to implement?