Exceptions for package
scikit-learn
github stars 47032

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