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Terminology consistency #40

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lucyleeow opened this issue Aug 13, 2020 · 2 comments
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Terminology consistency #40

lucyleeow opened this issue Aug 13, 2020 · 2 comments
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@lucyleeow
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lucyleeow commented Aug 13, 2020

Might be a nitpick but I think being consistent in the terminology used in the notebook would be helpful for learners (the people 馃槢 ). We should of course, note the other names something is called but for the notebooks be consistent. Potentially we could use terms that are consistent with those used in scikit-learn?

Off the top of my head these are used a little interchangeably:

  • estimator/learner/model
  • fit/learn/train
  • data point/sample/instance (i vote for not using instance, because we also talk about programming class instances)
  • infer/inference & predict/prediction
@glemaitre glemaitre added this to the Alpha release milestone Oct 28, 2020
@glemaitre
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I think that we should solve this by using the glossary. It might be interesting to use (at least mentioned all known terms) related to the same concept.

@lesteve lesteve mentioned this issue Dec 8, 2020
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lesteve commented Dec 8, 2020

Closing in favour of a glossary #38. I put the terms mentioned by @lucyleeow there.

@lesteve lesteve closed this as completed Dec 8, 2020
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