Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Improve confusion matrix plotting #2358

Merged
merged 4 commits into from
Feb 12, 2024
Merged

Improve confusion matrix plotting #2358

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
5b49448
Improve confusion matrix plotting
JonasVerbickas Feb 6, 2024
1337bcd
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Feb 6, 2024
eb13e6f
Merge branch 'master' into master
SkafteNicki Feb 12, 2024
453b43e
changelog
SkafteNicki Feb 12, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

- Fixed initialize aggregation metrics with default floating type ([#2366](https://github.com/Lightning-AI/torchmetrics/pull/2366))


- Fixed plotting of confusion matrices ([#2358](https://github.com/Lightning-AI/torchmetrics/pull/2358))

---

## [1.3.0] - 2024-01-10
Expand Down
10 changes: 6 additions & 4 deletions src/torchmetrics/utilities/plot.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -242,15 +242,17 @@ def plot_confusion_matrix(
fig_label = None
labels = labels or np.arange(n_classes).tolist()

fig, axs = plt.subplots(nrows=rows, ncols=cols) if ax is None else (ax.get_figure(), ax)
fig, axs = plt.subplots(nrows=rows, ncols=cols, constrained_layout=True) if ax is None else (ax.get_figure(), ax)
axs = trim_axs(axs, nb)
for i in range(nb):
ax = axs[i] if rows != 1 and cols != 1 else axs
if fig_label is not None:
ax.set_title(f"Label {fig_label[i]}", fontsize=15)
ax.imshow(confmat[i].cpu().detach() if confmat.ndim == 3 else confmat.cpu().detach())
ax.set_xlabel("Predicted class", fontsize=15)
ax.set_ylabel("True class", fontsize=15)
if i // cols == rows - 1: # bottom row only
ax.set_xlabel("Predicted class", fontsize=15)
if i % cols == 0: # leftmost column only
ax.set_ylabel("True class", fontsize=15)
ax.set_xticks(list(range(n_classes)))
ax.set_yticks(list(range(n_classes)))
ax.set_xticklabels(labels, rotation=45, fontsize=10)
Expand All @@ -259,7 +261,7 @@ def plot_confusion_matrix(
if add_text:
for ii, jj in product(range(n_classes), range(n_classes)):
val = confmat[i, ii, jj] if confmat.ndim == 3 else confmat[ii, jj]
ax.text(jj, ii, str(val.item()), ha="center", va="center", fontsize=15)
ax.text(jj, ii, str(round(val.item(), 2)), ha="center", va="center", fontsize=15)

return fig, axs

Expand Down
Loading