allow loss metric to be configurable by the user

jolars / eulerr

Area-Proportional Euler and Venn Diagrams with Ellipses

https://jolars.github.io/eulerr/

GNU General Public License v3.0

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allow loss metric to be configurable by the user #67

Open jolars opened 4 years ago

jolars commented 4 years ago

Possible loss metrics include:

\sum{i=1}{n} ( (A_i - \omega_i)(A_i )^2 (for A_i != 0).

please comment if there are any other loss metrics that you would want to include

gwselke commented 4 years ago

For me, choice between absolute errors (implemented now) and relative errors (described above) seems enough to cover a wide range of scenarios. One could consider other norms than euclidean, but that would rather seem to be a technical variation without much added practical value. Well, maybe max norm (\max(...) instead of \sum((...)^2).