siameseencoder.py 文件源码

def __init__(self, training_filename: str, hyperparameters: dict, combination_type='residual_with_ae'):
        self.__hyperparameters = hyperparameters

        self.__dataset_extractor = TreeDatasetExtractor(training_filename)
        self.__rng = RandomStreams()

        self.__rnn = RNN(self.__hyperparameters['memory_size'], self.__hyperparameters, self.__rng,
                         self.__dataset_extractor, combination_type=combination_type)
        self.__trainable_params = list(self.__rnn.get_params().values())
        check_hyperparameters(self.REQUIRED_HYPERPARAMETERS | self.__rnn.required_hyperparameters,
                              self.__hyperparameters)

        self.__compiled_methods = None
        self.__trained_parameters = None