Improve confusion matrix plotting #2358
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What does this PR do?
Current confusion matrix plotting tends to produce unusable results.
When I tried to create a normalized multilabel confusion matrix plot this cluttered mess was produced:
val.item()
produces numbers with too many decimal places.Round floats to avoid floating point errors leading to UI overflow.
Rounding to two decimal places seems reasonable since it's difficult to fit more digits into multilabel confusion matrices.
Changing this line converts this plot:
Removing redundant "True class" and "Predicted class"
Code reducing the number of times x and y labels are shown:
Produces a much cleaner plot without sacrificing any information:
Reduce overlap
By utilizing
constrained_layout=True
:Reduces overlap between labels horizontally and vertically from {0, 1} ticks:
Before submitting
PR review
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📚 Documentation preview 📚: https://torchmetrics--2358.org.readthedocs.build/en/2358/