Comments (4)
The idea for providing the datasets "ready to go" together with the corresponding params (and eventually corresponding models for each) is meant for two things:
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for more robust testing (not feasible with travis) where we validate the results for major releases in a completely standard way
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to give various examples (eventually covering as many typical prediction tasks as possible) so that its easy for the user to get going with Talos
Regarding the datasets, there is also of course the case where its useful to have access to datasets that require no further prep before ingesting it into a model. Some common ones (like Iris) and some uncommon ones like (like icu_mortality).
I'll try to get the Reporting pushed on Monday.
from talos.
Ah ok, so the point is just to ensure the datasets load in properly? I'm just curious why they need to be tested.
from talos.
I guess that the only concern is where those codes would be changed for some reason, or the file where those codes reside is changed and there is an accident related with that. Or maybe pandas would update and something fundamental would change and things would not work anymore as intended in getting the right data out.
from talos.
Ah ok I understand. Thank you!
from talos.
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from talos.