Changelog#

Unreleased #

ComparisonReport now supports permutation importance through permutation_importance(). See #2511 by @GaetandeCast.
ImpurityDecreaseDisplay.frame() now supports aggregation through an aggregate parameter. See #2539 by @MuditAtrey.

The figure-level legend is no longer cut off when saving the figure produced by PredictionErrorDisplay.plot(). See #2530 by @MuditAtrey.

Help menus accessed through help() methods now render as interactive HTML in Jupyter notebooks and IPython environments. See #2316 by @glemaitre.

Breaking: Reports no longer accept clustering models and only support supervised learning tasks (classification and regression). See #2489 by @GaetandeCast.
Breaking: The mode parameter is now required when creating a Project in “hub” mode. See #2401 by @thomass-dev.
DataFrame column names in reports now consistently use singular form (e.g., “model” instead of “models”). See #2392 by @Sharkyii.
Exceptions raised during the CrossValidationReport fitting process are no longer caught by skore. See #2462 by @glemaitre.

The documentation now includes a short example illustrating local usage of skore.Project. See #2481 by @glemaitre.
The documentation now includes a short example explaining the design philosophy of the skore API. See #2480 by @glemaitre.
The report URL is now printed after uploading to Skore Hub. See #2488 by @rouk1.
Reports now support setting pos_label after initialization, enabling users to change the positive class for binary classification metrics. See #2438 by @glemaitre.
CrossValidationReport now supports permutation feature importance through permutation_importance(). See #2370 by @glemaitre.
ComparisonReport now supports mean decrease in impurity (MDI) feature importance through impurity_decrease(). See #2387 by @auguste-probabl.
ConfusionMatrixDisplay now supports threshold_value="all" to display confusion matrices for all available thresholds. See #2463 by @glemaitre.

Tab completion now works correctly for reports in IPython. See #2427 by @jeromedockes.
PredictionErrorDisplay now supports multioutput regression models. See #2434 by @GaetandeCast.
CoefficientsDisplay now uses separate y-axes for each model when comparing models with different features. See #2403 by @GaetandeCast.
Reports no longer crash when y is provided as a list or tuple. See #2433 by @cakedev0.
skore.train_test_split() is now more robust to large inputs. See #2404 by @cakedev0.
Data normalization in the data accessor is now more robust when converting various input formats to DataFrames. See #2440 by @cakedev0.
Project names are now limited to 64 characters when interacting with Skore Hub. See #2454 by @auguste-probabl.
An error is now raised earlier and more clearly when a report is pushed to Skore Hub without a pos_label. See #2436 by @glemaitre.
Empty project names are no longer allowed when interacting with Skore Hub. See #2453 by @auguste-probabl.
pandas.Timestamp objects no longer crash uploading a report to Skore Hub. See #2484 by @thomass-dev.