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Closes #2 Fix variable shadowing in predict_missclassifications #3

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Closes #2 Fix variable shadowing in predict_missclassifications #3

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8 changes: 4 additions & 4 deletions sprout/SPROUTObject.py
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Original file line number Diff line number Diff line change
Expand Up @@ -426,7 +426,7 @@ def exercise(self, x, y, classifier, verbose=True):
print('Unable to load SPROUT model')
return out_df, clf_pred

def predict_misclassifications(self, x, classifier, verbose=True) -> numpy.ndarray:
def predict_misclassifications(self, x, classifier, verbose=True) -> numpy.ndarray:
"""
Predicts on a test set
:param x: the test features x_test
Expand All @@ -437,9 +437,9 @@ def predict_misclassifications(self, x, classifier, verbose=True) -> numpy.ndarr
if self.binary_adjudicator is not None:
# Calculating Trust Measures with SPROUT
unc_m = self.compute_set_trust(data_set=x, classifier=classifier, verbose=verbose)
x_test = unc_m.select_dtypes(exclude=['object']).to_numpy()
x_test = numpy.nan_to_num(x_test)
misc_pred = self.binary_adjudicator.predict(x_test)
x = unc_m.select_dtypes(exclude=['object']).to_numpy()
x = numpy.nan_to_num(x)
misc_pred = self.binary_adjudicator.predict(x)
return misc_pred
else:
print("Adjudicator is not trained")
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