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