Пример #1
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 def __init__(self):
     """
     inhereit from HyperParameters Class
     :return:
     """
     # super(MultiEmbedding,self).__init__()
     HyperParameters.__init__(self)
Пример #2
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 def __init__(self):
     """
     Most of hyperparameters come from Hyperparameters class
     :return:
     """
     # state here again to make sure this class can inhereite parameters from partent class
     HyperParameters.__init__(self)
Пример #3
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    def __init__(self):
        """

        """
        HyperParameters.__init__(self)
        self.history_classify_df = pd.DataFrame(columns=[
            'loss', 'accuracy', 'val_loss', 'val_accuracy', 'epoch',
            'model_features'
        ])
Пример #4
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 def __init__(self):
     """
     All the hyperparameters need initialize in this section
     """
     HyperParameters.__init__(self)
Пример #5
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 def __init__(self):
     """
     """
     # using distribution to decide this parameters
     # self.MAX_SEQ_LENGTH = 400
     HyperParameters.__init__(self)
Пример #6
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 def __init__(self):
     HyperParameters.__init__(self)
Пример #7
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 def __init__(self):
     # we need state here again to make sure this class can inhereite parameters from partent class
     HyperParameters.__init__(self)
Пример #8
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 def __init__(self, history):
     HyperParameters.__init__(self)
     # self.shape = None
     self.history = history