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@ -98,6 +98,10 @@ class Learner(Process):
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# - The code below tries to address the issue (Perhaps better suited for the reading components)
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_log = {}
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for name in columns :
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#
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# randomly sampling 5 elements to make sense of data-types
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if self._df[name].size < 5 :
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continue
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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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