Hey @gvegayon, you were right: exposure() can handle dynamic attributes, so we should include them in epigamesDiffNett.
The current epigamesDiffNet dataset includes student behaviors (mask usage, medication usage, etc.) as static node attributes (vertex.static.attrs) as 15-day averages (e.g., mask_prop). But we CAN populate the vertex.dyn.attrs slot.
Let me work on this. I'll be texting you if anything happens.
PD: I think we should work on the other tasks (tod, more epidemiological functionalities) on another PR.
Hey @gvegayon, you were right:
exposure()can handle dynamic attributes, so we should include them in epigamesDiffNett.The current
epigamesDiffNetdataset includes student behaviors (mask usage, medication usage, etc.) as static node attributes (vertex.static.attrs) as 15-day averages (e.g.,mask_prop). But we CAN populate thevertex.dyn.attrsslot.Let me work on this. I'll be texting you if anything happens.
PD: I think we should work on the other tasks (
tod, more epidemiological functionalities) on another PR.