JuliaAI / JuliaAI/MLJTutorial.jl
Tutorial 04: `predict(..., rows = 1:3)`
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- Julia
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Description
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.
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Research direction
Start in Part 04 of the tutorial, in the “The tuning wrapper” section, and inspect the predict(tuned_mach, rows = 1:3) example. Determine what rows refers to and whether the tutorial explains the choice clearly. Done means the example or surrounding text makes the intended use of rows and the relationship to XHorse understandable.
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Assessment
- Tech stack
- julia
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100