bg fix : approximation
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@ -300,12 +300,19 @@ class Components :
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_df = _df[list(set(_df.columns) - set(skip_columns))].copy()
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if x_cols :
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_approx = {}
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for _col in x_cols :
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if real_df[_col].unique().size > 0 :
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_df[_col] = self.approximate(real_df[_col])
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_approx[_col] = {
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"io":{"min":_df[_col].min(),"max":_df[_col].max(),"mean":_df[_col].mean(),"sd":_df[_col].values.std(),"missing": _df[_col].where(_df[_col] == -1).dropna().count(),"zeros":_df[_col].where(_df[_col] == 0).dropna().count()},
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"real":{"min":real_df[_col].min(),"max":real_df[_col].max(),"mean":real_df[_col].mean(),"sd":real_df[_col].values.std(),"missing": real_df[_col].where(_df[_col] == -1).dropna().count(),"zeros":real_df[_col].where(_df[_col] == 0).dropna().count()}
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}
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else:
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_df[_col] = -1
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logger.write({"module":"gan-generate","action":"approximate","status":_approx})
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if set(df.columns) & set(_df.columns) :
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_columns = set(df.columns) - set(_df.columns)
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df = df[_columns]
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