fix: IPython completion doesn't work consistently for EstimatorReports #2386
Description
Describe the bug
I'm having issues with tab completion of EstimatorReport instances. Strangely enough it doesn't seem to affect ComparisonReports the same way, although it's hard to isolate what might be going wrong. Would appreciate if readers of this could try to reproduce the issue.
Steps/Code to Reproduce
from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier
from skore import train_test_split, EstimatorReport
X, y = load_iris(return_X_y=True, as_frame=True)
split_data = train_test_split(X=X, y=y, shuffle=False, as_dict=True)
report = EstimatorReport(RandomForestClassifier(), **split_data)
report.<tab> # nothing happensExpected Behavior
A list of available methods and attributes
Actual Behavior
Nothing
Environment
ipython 9.9.0
System:
python: 3.13.9 (main, Oct 14 2025, 13:52:31) [GCC 14.3.0]
executable: /home/auguste/Desktop/work/skore/skore/.venv/bin/python3
machine: Linux-6.12.59-x86_64-with-glibc2.40
Python dependencies:
skore: 0.0.0+unknown (main)
pip: 25.2
anywidget: 0.9.21
ipython: 9.9.0
ipywidgets: 8.1.8
joblib: 1.5.3
matplotlib: 3.10.8
numpy: 2.4.0
pandas: 2.3.3
plotly: 6.5.2
rich: 14.2.0
scikit-learn: 1.8.0
seaborn: 0.13.2
skore[local]: None
skrub: 0.7.1
skore-hub-project: 0.0.0+unknown (main)Metadata
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