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Inherit warnings from OWBaseLearner
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Orange/widgets/model/owsvm.py

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@@ -31,9 +31,8 @@ class OWSVM(OWBaseLearner):
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class Outputs(OWBaseLearner.Outputs):
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support_vectors = Output("Support vectors", Table, explicit=True)
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class Warning(OWWidget.Warning):
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class Warning(OWBaseLearner.Warning):
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sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')
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outdated_learner = Msg("Press Apply to submit changes.")
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#: Different types of SVMs
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SVM, Nu_SVM = range(2)

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