@ -233,10 +233,6 @@ class Generator (Learner):
if x :
_log['input']['identical_percentage'] = 100 * (np.divide( (_df[name].dropna() == x).sum(),_df[name].dropna().size))
print (_df[name] == x)
print (_log)
_df[name] = x #np.array(x,dtype=np.int64) if 'int' in _type else np.arry(x,dtype=np.float64)
self.log(**_log)