[ENH] Examples for YtoX transformer

[fkiraly]

Adds examples for YtoX transformer in its docstring; also improves docstring formatting and clarity.

[geetu040]

@fkiraly That is an easy fix, if you ask me I'll be happy to check, test, fix and add the examples for this class.

[fkiraly]

Would you like to add more examples? Sure, if you would like to, in anothe PR?

[geetu040]

Thanks, I'll do in another PR

[fkiraly]

Sure! I recommend then branching off this branch, to avoid merge conflicts.

[geetu040]

Thanks for letting me do the examples. I was really struggling with YtoX and thought it was irrelevant but expermenting with the examples made me rethink of its use. I previously worked on EEG dataset and just realized how easy would have the things been if I used this approach.

I have made minor fixes to examples, branching off from this branch, in this PR: #6059

[fkiraly]

I previously worked on EEG dataset and just realized how easy would have the things been if I used this approach.

Interesting statement - what this makes me think, and imagine reading between the lines, is that the tutorials are not as clear as they could be on building pipelines from the various components.

I would be keen to hear your opinions, on where/how you specifically would have expected explanations, or whether there were places where you felt more confused than informed.

[geetu040]

There were actually no example use-cases for YtoX. I only found one in this discussion #5064.
I asked on discord for explanation and thankfully this PR in response made it clear for me. It was lacking dataset so it took some time for me to process, just that now I understand it.

It was simple, I was just not looking with the right approach. I just thought why to use a transformer to convert Y to X when I can just create a duplicate, process it and pass it as X. but I just realized using YtoX in a pipeline makes the code way easier and efficient.

Thanks

[fkiraly]

There were actually no example use-cases for YtoX.

Oh - that seems like an oversight. I would have expected them in tutorial 03b.

Perhaps it's time for an update, there are various workshops (in the sktime GitHub organisation, www.github.com/sktime) which might have relevant material, in addition.