Fix Exception
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Exceptions for package
scikit-learn
47032
8
1454
Shape mismatch: if categories is an array, it has to be of shape (n_features,).
/ scikit-learn
7
64
'percentiles' must be a sequence of 2 elements.
/ scikit-learn
6
104
n_iter should be at least 250
/ scikit-learn
6
95
For mono-task outputs, use %s
/ scikit-learn
6
47
'method' must be 'barnes_hut' or 'exact'
/ scikit-learn
6
38
algorithm %s is not supported
/ scikit-learn
6
35
Array passed to %s is full of zeros.
/ scikit-learn
5
984
'n_components' should be inferior to 4 for the barnes_hut algorithm as it relies on quad-tree or oct-tree.
/ scikit-learn
5
467
Multioutput not supported in max_error
/ scikit-learn
5
414
The Box-Cox transformation can only be applied to strictly positive data
/ scikit-learn
5
234
Precomputed metric requires shape (n_queries, n_indexed). Got (%d, %d) for %d indexed.
/ scikit-learn
5
232
For evaluating multiple scores, use sklearn.model_selection.cross_validate instead. (param0) was passed.
/ scikit-learn
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