MLJTutorial.jl
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Tutorial 04: `predict(..., rows = 1:3)`
In part 04 of the tutorial, in section 'The tuning wrapper' there is a predict
statement applied to the tuned model/machine:
predict(tuned_mach, rows = 1:3)
To me it is not quite clear why the parameter 1:3
is given to rows
. I would have expected that XHorse
(or a subset of it) would be used.