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Machine Learning Tutorial #2135

Open
Tracked by #2143
nbiederbeck opened this issue Nov 25, 2022 · 3 comments
Open
Tracked by #2143

Machine Learning Tutorial #2135

nbiederbeck opened this issue Nov 25, 2022 · 3 comments

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@nbiederbeck
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Since we now have the machine learning tools, we need to show users how to work with them.

They should be (at least) documented with the command line tools, but I would much more prefer a tutorial in the documentation.

I open this as a new issue, instead of appending at #1755, because this should focus only on documentation and tutorials not new features.

PS: we might also overhaul the whole tutorial section, there may be some outdated stuff and I really like how Gammapy handles their tutorials

@kosack
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kosack commented Nov 25, 2022

Yes new tutorials have long been on the todo list. I think we can also separate them into two categories: high-level tutorials (like using the machine learning tools) and API-level tutorials similar to what is there already. For the high level ones, the primary one would be to show a complete step-by-step analysis, at least up to generating DL2 event lists with geometry, energy, and gammaness.

@kosack
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kosack commented Nov 25, 2022

This also might be a nice time to look into switching the tutorial notebooks to use Jupytext #2099

@StFroese
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I think there should also be a data flow diagram showing which tools are applied at which step and which files are or can be generated along the way

@StFroese StFroese added this to the v0.18.0 milestone Nov 30, 2022
@maxnoe maxnoe modified the milestones: v0.18.0, v0.19.0 Jan 26, 2023
@kosack kosack modified the milestones: v0.20.0, v0.21.0 Sep 8, 2023
@maxnoe maxnoe modified the milestones: v0.21.0, 0.22.0 Mar 22, 2024
@maxnoe maxnoe modified the milestones: 0.22.0, 0.23.0 Sep 10, 2024
@maxnoe maxnoe modified the milestones: 0.23.0, 0.24.0 Nov 12, 2024
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