Exceptions for package
scikit-learn
github stars 47032

8
views 915
Shape mismatch: if categories is an array, it has to be of shape (n_features,). / scikit-learn
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views 49
'percentiles' must be a sequence of 2 elements. / scikit-learn
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views 61
n_iter should be at least 250 / scikit-learn
6
views 39
For mono-task outputs, use %s / scikit-learn
6
views 37
'method' must be 'barnes_hut' or 'exact' / scikit-learn
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views 24
Array passed to %s is full of zeros. / scikit-learn
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views 24
algorithm %s is not supported / scikit-learn
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views 563
'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 268
Multioutput not supported in max_error / scikit-learn
5
views 235
The Box-Cox transformation can only be applied to strictly positive data / scikit-learn
5
views 154
Precomputed metric requires shape (n_queries, n_indexed). Got (%d, %d) for %d indexed. / scikit-learn
5
views 124
'estimator' must be a fitted regressor or classifier. / scikit-learn
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