8000 Ignore underflow in LabelPropagation by warut-vijit · Pull Request #9384 · scikit-learn/scikit-learn · GitHub
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Ignore underflow in LabelPropagation #9384

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Ignore underflow in LabelPropagation #9384

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7 changes: 7 additions & 0 deletions sklearn/semi_supervised/label_propagation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -230,6 +230,10 @@ def fit(self, X, y):
self.X_ = X
check_classification_targets(y)

# ignore expected underflow
old_error_settings = np.geterr()
np.seterr(invalid='ignore', under='ignore')

# actual graph construction (implementations should override this)
graph_matrix = self._build_graph()

Expand Down Expand Up @@ -290,6 +294,9 @@ def fit(self, X, y):
normalizer = np.sum(self.label_distributions_, axis=1)[:, np.newaxis]
self.label_distributions_ /= normalizer

# restore error settings
np.seterr(**old_error_settings)

# set the transduction item
transduction = self.classes_[np.argmax(self.label_distributions_,
axis=1)]
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