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Fix missing spaces
Fix missing spaces fix missing spaces
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sklearn/svm/classes.py

Lines changed: 4 additions & 4 deletions
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@@ -590,11 +590,11 @@ class SVC(BaseSVC):
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Sorted unique classes as provided in the target vector ``y`` in the
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``fit`` method.
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class_weight_: array, shape = [n_class]
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class_weight_ : array, shape = [n_class]
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Multipliers of parameter C of class i (class_weight_[i]*C).
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Computed based on the ``class_weight`` parameter.
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shape_fit_: tuple, shape = [n_dimensions_of_X]
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shape_fit_ : tuple, shape = [n_dimensions_of_X]
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Array dimensions of training vector ``X``.
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Examples
@@ -795,11 +795,11 @@ class NuSVC(BaseSVC):
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Sorted unique classes as provided in the target vector ``y`` in the
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``fit`` method.
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class_weight_: array, shape = [n_class]
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class_weight_ : array, shape = [n_class]
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Multipliers of parameter C of class i (class_weight_[i]*C).
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Computed based on the ``class_weight`` parameter.
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shape_fit_: tuple, shape = [n_dimensions_of_X]
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shape_fit_ : tuple, shape = [n_dimensions_of_X]
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Array dimensions of training vector ``X``.
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Examples

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