""" scratch pattern_finder_iterable """ num_lat_iterable = [5, 10, 15, 20, 30] num_lng_iterable = num_lat_iterable num_lat_num_lng_iterable = itertools.izip(num_lat_iterable, num_lng_iterable) regions_F_iterable = itertools.starmap(utils.latlng_grid_regions_F, num_lat_num_lng_iterable) pseudocounts_iterable = [0.001] bin_region_count_F_iterable = itertools.imap(tensor_scan_fxns.bin_region_count_F, pseudocounts_iterable) raw_joint_distribution_F_iterable = [utils.independent_categorical_joint_distribution_F()] joint_x_distribution_F_iterable = itertools.imap(tensor_scan_fxns.joint_x_distribution_F, raw_joint_distribution_F_iterable) background_count_F_iterable = itertools.starmap(tensor_scan_fxns.region_x_independent_tensor_count_F, itertools.product(bin_region_count_F_iterable, joint_x_distribution_F_iterable)) foreground_count_F_iterable = [tensor_scan_fxns.empirical_tensor_count_F()] optimizer_F_iterable = [utils.iterative_argmax_F(utils.get_initial_subset_x_random(0.5), utils.cycle_through_coord_iterative_step(), 20, 0.001)] p_value_F_iterable = [tensor_scan_fxns.identity_test_stat_F()] pattern_test_stat_iterable = [tensor_scan_fxns.pattern_test_stat] pattern_F_iterable = itertools.starmap(tensor_scan_fxns.pattern_F, itertools.product(background_count_F_iterable, foreground_count_F_iterable, optimizer_F_iterable, pattern_test_stat_iterable, p_value_F_iterable)) pattern_finder_regions_F_iterable = itertools.imap(tensor_scan_fxns.background_and_foreground_regions_F, regions_F_iterable) num_blocks_iterable = [100] background_foreground_iterator_F_iterable = [tensor_scan_fxns.many_windows_iterator(num_blocks) for num_blocks in num_blocks_iterable] raw_pattern_finder_F_iterable = itertools.starmap(tensor_scan_fxns.raw_pattern_finder_F, itertools.product(background_foreground_iterator_F_iterable, pattern_finder_regions_F_iterable, pattern_F_iterable)) scratch_oneshot_ranked_pattern_finder_F_iterable = itertools.imap(tensor_scan_fxns.oneshot_ranked_pattern_finder_F, raw_pattern_finder_F_iterable) iterative_max_iter = 3 scratch_ss_pattern_finder_F_iterable = itertools.imap(tensor_scan_fxns.most_significant_pattern_finder_F, raw_pattern_finder_F_iterable) scratch_iterative_ranked_pattern_finder_F_iterable = itertools.imap(functools.partial(tensor_scan_fxns.iterative_ranked_pattern_finder_F, iterative_max_iter), scratch_ss_pattern_finder_F_iterable) """ scratch baseline_method_iterable """ location_dist_F_iterable = [tensor_scan_fxns.location_dist_F('euclidean')]
#x_f = utils.series_f(utils.hard_code_f(0)) time_f = crime_data_fxns.house_break_f('date_num') in_pattern_f = crime_data_fxns.in_pattern_f() pattern_f = crime_data_fxns.house_break_f('pattern') scratch_data = [tensor_scan_fxns.datum(id, time_f(id), location_f(id), x_f(id), in_pattern_f(id), pattern_f(id)) for id in data_id_iterable] """ scratch pattern_finder """ lat_min, lat_max, lng_min, lng_max = crime_data.constants.cambridge_min_lat, crime_data.constants.cambridge_max_lat, crime_data.constants.cambridge_min_lng, crime_data.constants.cambridge_max_lng num_lat, num_lng = 16, 16 regions_F = utils.latlng_grid_regions_F(num_lat, num_lng) background_count_F = tensor_scan_fxns.region_x_independent_tensor_count_F(tensor_scan_fxns.bin_region_count_F(0.00001), tensor_scan_fxns.joint_x_distribution_F(utils.independent_categorical_joint_distribution_F())) foreground_count_F = tensor_scan_fxns.empirical_tensor_count_F() optimizer_F = utils.iterative_argmax_F(utils.get_initial_subset_x_random(1.0), utils.cycle_through_coord_iterative_step(), 10, 0.001) p_value_F = tensor_scan_fxns.identity_test_stat_F() pattern_F = tensor_scan_fxns.pattern_F(background_count_F, foreground_count_F, optimizer_F, tensor_scan_fxns.pattern_test_stat, p_value_F) pattern_finder_regions_F = tensor_scan_fxns.background_and_foreground_regions_F(regions_F) num_windows = 20 raw_pattern_finder_F = tensor_scan_fxns.raw_pattern_finder_F(tensor_scan_fxns.many_windows_iterator(num_windows), pattern_finder_regions_F, pattern_F) scratch_oneshot_ranked_pattern_finder_F = tensor_scan_fxns.oneshot_ranked_pattern_finder_F(raw_pattern_finder_F) scratch_pattern_finder_F = tensor_scan_fxns.most_significant_pattern_finder_F(raw_pattern_finder_F) iterative_max_iter = 3 scratch_iterative_ranked_pattern_finder_F = tensor_scan_fxns.iterative_ranked_pattern_finder_F(iterative_max_iter, scratch_pattern_finder_F) """ scratch baseline_method """ location_dist_F = tensor_scan_fxns.location_dist_F('euclidean') time_dist_F = tensor_scan_fxns.time_dist_F('cityblock') x_dist_F = tensor_scan_fxns.x_dist_F('hamming')