You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Eli's next request is to add an operator to postprocessing for averaging data from multiple aimmdb entries. This operator should take an arbitrary number of entries as input and return a new entry with the averaged data, and metadata that points to the original unaveraged data.
@x94carbone I noticed all the currently defined operators use the UnaryOperator class. Is there any abstraction defined for operators that take multiple inputs?
The text was updated successfully, but these errors were encountered:
@x94carbone I came up with this MultiOperator abstraction by modifying the UnaryOperator class. I am still working on the averaging operator itself but let me know if this looks alright so far. The one thing I am wondering is if this should also be able to operate on the Node class.
@x94carbone sure! I just created the PR. Not sure why but it included several commits from when I was working on the NormalizeLarch scheme, so just the most recent few commits are related to this.
Eli's next request is to add an operator to
postprocessing
for averaging data from multiple aimmdb entries. This operator should take an arbitrary number of entries as input and return a new entry with the averaged data, and metadata that points to the original unaveraged data.@x94carbone I noticed all the currently defined operators use the
UnaryOperator
class. Is there any abstraction defined for operators that take multiple inputs?The text was updated successfully, but these errors were encountered: