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Clear pandas.cut argument from float('inf') values #13

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Clear pandas.cut argument from float('inf') values #13

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7 changes: 3 additions & 4 deletions autowoe/lib/report/report.py
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Original file line number Diff line number Diff line change
Expand Up @@ -523,10 +523,9 @@ def __get_binned_data(self, bin_count):

for df in [train_binned, test_binned]:
df['Score'] = np.log(df['P'] / (1 - df['P']))
if bins is not None:
df['ScoreBin'] = pd.cut(df['Score'], bins, retbins=False)
else:
df['ScoreBin'], bins = pd.cut(df['Score'], bin_count, retbins=True)
if bins is None:
_intervals, bins = pd.cut(df['Score'][~np.isinf(df['Score'])], bin_count, retbins=True)
df['ScoreBin'] = pd.cut(df['Score'], bins, retbins=False)

return train_binned, test_binned

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