Exceptions for package
scikit-learn
github stars 45721

3
views 14
n_features must be strictly positive, got %d / scikit-learn
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views 8
multi_class must be in ('ovo', 'ovr') / scikit-learn
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views 26
early_stopping must be either True or False / scikit-learn
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views 17
min_weight_fraction_leaf must in [0, 0.5] / scikit-learn
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views 11
Expected input with %d features, got %d instead / scikit-learn
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views 8
Incompatible dimension for X and Y matrices: X.shape[1] == %d while Y.shape[1] == %d / scikit-learn
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views 3
The Box-Cox transformation can only be applied to strictly positive data / scikit-learn
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views 2
X should be a square kernel matrix / scikit-learn
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views 2
modified LLE requires n_neighbors >= n_components / scikit-learn
1
views 15
max_depth bust be >= 0, given %d / scikit-learn
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views 13
y must not be empty. / scikit-learn
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views 10
%s is not an estimator instance. / scikit-learn
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