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@ -616,7 +616,7 @@ class Predict(GNet):
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else:
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missing = []
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i = np.where(ii == 0)[0]
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df = pd.DataFrame( df.iloc.apply(lambda row: self.values[np.random.choice(np.where(row != 0)[0],1)[0]] ,axis=1))
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df = pd.DataFrame( df.iloc[i].apply(lambda row: self.values[np.random.choice(np.where(row != 0)[0],1)[0]] ,axis=1))
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df.columns = columns
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df = df[columns[0]].append(pd.Series(missing))
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