suneku/classifier.py
def probs(self,data):
        """ DataFrame: Class probabilities for each row in input. """
        classes,model,rescaled = self.classes,self.model,self.rescaled

        data = rescaled(data)
        probs = model.predict_proba(data)

        return DataFrame(probs,index=data.index,columns=classes)
 DataFrame: Class probabilities for each row in input. 
Class probabilities for each row in input.
Class probabilities for each row in input .
def probs(self,data):
        classes,model,rescaled = self.classes,self.model,self.rescaled
        data = rescaled(data)
        probs = model.predict_proba(data)
        return DataFrame(probs,index=data.index,columns=classes)
def probs ( self , data ) : classes , model , rescaled = self . classes , self . model , self . rescaled data = rescaled ( data ) probs = model . predict_proba ( data ) return DataFrame ( probs , index = data . index , columns = classes )
DataFrame: Class probabilities for each row in input.
DataFrame : Class probabilities for each row in input .
""" DataFrame: Class probabilities for each row in input. """
self
data