def add_data_tuple_to_smoothed_blue_cache(data_tuple): chosen_vectors = Locator.get_members(Locator.blue_cache, 3) smoothed_data_tuple = Math.calc_weighted_average_for_vectors( chosen_vectors, [0.2, 0.3, 0.5]) Locator.add_data_tuple_to_cache(smoothed_data_tuple, Locator.smoothed_blue_cache, Locator.smoothed_blue_cache_max_size)
def add_data_tuple_to_smoothed_blue_cache(data_tuple): chosen_vectors = Locator.get_members(Locator.blue_cache, 3) smoothed_data_tuple = Math.calc_weighted_average_for_vectors(chosen_vectors, [0.2,0.3,0.5]) Locator.add_data_tuple_to_cache(smoothed_data_tuple, Locator.smoothed_blue_cache, Locator.smoothed_blue_cache_max_size)
def weighted_smoothing(cache, number_of_members, list_of_weights): members_chosen = Locators.simple_get_members(cache, number_of_members) return Math.calc_weighted_average_for_vectors(members_chosen, list_of_weights)
def weighted_smoothing(cache, number_of_members, list_of_weights): members_chosen = Locators.simple_get_members(cache, number_of_members) return Math.calc_weighted_average_for_vectors(members_chosen, list_of_weights)