4b83c1070cebd0d996ba2cc69779dcb66d5d0032,autokeras/search.py,BayesianSearcher,__init__,#BayesianSearcher#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,199

Before Change

                 beta=constant.BETA,
                 kernel_lambda=constant.KERNEL_LAMBDA,
                 t_min=constant.T_MIN):
        super().__init__(n_classes, input_shape, path, verbose, trainer_args, default_model_len, default_model_width)
        self.gpr = IncrementalGaussianProcess(kernel_lambda)
        self.search_tree = SearchTree()
        self.init_search_queue = None
        self.init_gpr_x = []

After Change

        The Searcher will be loaded from file if it has been saved before.
        
        if trainer_args is None:
            trainer_args = {}
        self.n_classes = n_classes
        self.input_shape = input_shape
        self.verbose = verbose
        self.history = []
        self.path = path
        self.model_count = 0
        self.descriptors = {}
        self.trainer_args = trainer_args
        self.default_model_len = default_model_len
        self.default_model_width = default_model_width
        if "max_iter_num" not in self.trainer_args:
            self.trainer_args["max_iter_num"] = constant.SEARCH_MAX_ITER

        self.gpr = IncrementalGaussianProcess(kernel_lambda)
        self.search_tree = SearchTree()
        self.training_queue = []
        self.x_queue = []
        self.y_queue = []
        self.beta = beta
        self.t_min = t_min

    def load_model_by_id(self, model_id):

Instances