Exceptions for package
scikit-learn
github stars 47032

8
views 1399
Shape mismatch: if categories is an array, it has to be of shape (n_features,). / scikit-learn
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views 57
'percentiles' must be a sequence of 2 elements. / scikit-learn
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views 96
n_iter should be at least 250 / scikit-learn
6
views 89
For mono-task outputs, use %s / scikit-learn
6
views 43
'method' must be 'barnes_hut' or 'exact' / scikit-learn
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views 35
algorithm %s is not supported / scikit-learn
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views 31
Array passed to %s is full of zeros. / scikit-learn
5
views 916
'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 434
Multioutput not supported in max_error / scikit-learn
5
views 386
The Box-Cox transformation can only be applied to strictly positive data / scikit-learn
5
views 218
Precomputed metric requires shape (n_queries, n_indexed). Got (%d, %d) for %d indexed. / scikit-learn
5
views 215
For evaluating multiple scores, use sklearn.model_selection.cross_validate instead. (param0) was passed. / scikit-learn
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