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@ -604,7 +604,7 @@ class Predict(GNet):
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# df = pd.DataFrame(np.round(f)).astype(np.int32)
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# candidates.append (np.round(_matrix).astype(np.int64))
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candidates.append( [np.round(row).astype(int) for row in _matrix])
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candidates.append(np.array([np.round(row).astype(int) for row in _matrix]))
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# return candidates[0] if len(candidates) == 1 else candidates
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return candidates
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@ -111,7 +111,7 @@ class Input :
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if 'columns' in _args :
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self._columns = _args['columns']
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else:
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# else:
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#
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# We will look into the count and make a judgment call
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_df = pd.DataFrame(self.df.apply(lambda col: col.dropna().unique().size )).T
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