Is your feature request related to a problem? Please describe.
The following works:
from sklearn.datasets import make_classification
from sklearn.ensemble import RandomForestClassifier
from skore import evaluate
X, y = make_classification(random_state=0)
report = evaluate(
RandomForestClassifier(max_depth=2, random_state=0), X, y, pos_label=1
)
report.metrics.summarize(metric='neg_mean_squared_error').frame()But this doesn't:
report.metrics.summarize(metric='mean_squared_error').frame()
Describe the solution you'd like
Make it work
Describe alternatives you've considered, if relevant
No response
Additional context
No response
Is your feature request related to a problem? Please describe.
The following works:
But this doesn't:
Describe the solution you'd like
Make it work
Describe alternatives you've considered, if relevant
No response
Additional context
No response