Greetings scikit-learn-general,
Long time fan of scikit-learn, but my first post on this list. Appreciate
any insight or guidance you can share.
I'm trying to implement my own scoring function for cross_val_score using
the make_scorer factory function. The evaluation I'm trying to build is for
a normalized weighted gini, which requires a "weights" array passed in to
calculate the relative weight of each row.
The function works fine when called manually with (y_true, y_pred), but
raises an AssertionError when called as a parameter on
cross_val_score(scoring=gini_function)... I think the error might be due to
the weights array being its original size, while the (y_true, y_pred)
arrays might be reduced sizes for cross-validation folds.
Here's my code and the stack trace:
- https://dpaste.de/Zk6n
Appreciate any suggestions,
-Michael
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