(self, model, predictions)
return predictions
Function to interpret predictions from a neural network for the creation for graphs / user understanding.
        :param model: is the model in the self.models dictionary that you want to use to interpret
        :param predictions: the predictions that come out of the model
        :return: a prediction, most likely an array
Function to interpret predictions from a neural network for the creation for graphs / user understanding.
        :param model: is the model in the self.models dictionary that you want to use to interpret
        :param predictions: the predictions that come out of the model
        :return: a prediction, most likely an array
Function to interpret predictions from a neural network for the creation for graphs / user understanding . : param model : is the model in the self . models dictionary that you want to use to interpret : param predictions : the predictions that come out of the model : return : a prediction most likely an array
def interpret(self, model, predictions):
        '''
        Function to interpret predictions from a neural network for the creation for graphs / user understanding.
        :param model: is the model in the self.models dictionary that you want to use to interpret
        :param predictions: the predictions that come out of the model
        :return: a prediction, most likely an array
        '''
        modeldict = self.models[model]
        if modeldict.get('interpreter'):
            predictions = modeldict['interpreter'].inverse_transform(
                predictions)
        clearLog()
        return predictions
def interpret ( self , model , predictions ) : modeldict = self . models [ model ] if modeldict . get ( 'interpreter' ) : predictions = modeldict [ 'interpreter' ] . inverse_transform ( predictions ) clearLog ( ) return predictions