def __init__(self, n_output_node, input_shape, path, metric, loss, generators, verbose, trainer_args=None, default_model_len=None, default_model_width=None):
    super(RandomSearcher, self).__init__(n_output_node, input_shape, path, metric, loss, generators, verbose, trainer_args, default_model_len, default_model_width)
    self.search_tree = SearchTree()
def __init__(self, n_output_node, input_shape, path, metric, loss, generators, verbose, trainer_args=None, default_model_len=None, default_model_width=None):
    super(RandomSearcher, self).__init__(n_output_node, input_shape, path, metric, loss, generators, verbose, trainer_args, default_model_len, default_model_width)
    self.search_tree = SearchTree()