bug fix: missing data, adding an additional type: pandas._lib.missing.NAType in addition to np.nan, np.na
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@ -99,7 +99,6 @@ class Learner(Process):
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for name in columns :
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for name in columns :
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_index = np.random.choice(np.arange(self._df[name].size),5,False)
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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 = [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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print ([name,np.sum(no_value)])
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no_value = 0 if np.sum(no_value) > 0 else ''
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no_value = 0 if np.sum(no_value) > 0 else ''
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self._df[name] = self._df[name].fillna(no_value)
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self._df[name] = self._df[name].fillna(no_value)
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@ -196,7 +196,6 @@ class Input :
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:param rows np.array or list of vector of values
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:param rows np.array or list of vector of values
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:param cols a space of values if it were to be different fromt he current sample.
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:param cols a space of values if it were to be different fromt he current sample.
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"""
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"""
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if not cols:
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if not cols:
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#
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#
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# In the advent the sample rows do NOT have the values of the
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# In the advent the sample rows do NOT have the values of the
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