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@ -105,8 +105,10 @@ class Learner(Process):
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_index = np.random.choice(np.arange(self._df[name].size),5,False)
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no_value = [type(value) in [int,float,np.int64,np.int32,np.float32,np.float64] for value in self._df[name].values[_index]]
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no_value = 0 if np.sum(no_value) > 0 else ''
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try:
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self._df[name] = self._df[name].fillna(no_value)
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finally:
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pass
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_log[name] = self._df[name].dtypes.name
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_log = {'action':'structure','input':_log}
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