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@ -233,11 +233,7 @@ class Generator (Learner):
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if x :
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if x :
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_log['input']['identical_percentage'] = 100 * (np.divide( (_df[name].dropna() == x).sum(),_df[name].dropna().size))
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_log['input']['identical_percentage'] = 100 * (np.divide( (_df[name].dropna() == x).sum(),_df[name].dropna().size))
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print (_df[name] == x)
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print (_log)
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_df[name] = x #np.array(x,dtype=np.int64) if 'int' in _type else np.arry(x,dtype=np.float64)
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_df[name] = x #np.array(x,dtype=np.int64) if 'int' in _type else np.arry(x,dtype=np.float64)
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self.log(**_log)
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self.log(**_log)
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return _df
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return _df
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