random_projection.py 文件源码

def find_nearest_instances_subprocess(training_data_instances, training_data_labels, test_data_instances, test_instance_start_index, test_instance_end_index,\
                                      classified_results):
    # print test_instance_start_index, test_instance_end_index
    for test_instance_index in range(test_instance_start_index, test_instance_end_index):
        test_instance = test_data_instances[test_instance_index]
        # find the nearest training instance with euclidean distance
        minimal_euclidean_distance = euclidean(test_instance, training_data_instances[0])
        minimal_euclidean_distance_index = 0
        for training_instance, training_instance_index in zip(training_data_instances, range(len(training_data_instances))):
            # compute the euclidean distance
            euclidean_distance = euclidean(test_instance, training_instance)
            if euclidean_distance < minimal_euclidean_distance:
                minimal_euclidean_distance = euclidean_distance
                minimal_euclidean_distance_index = training_instance_index
        classified_results[test_instance_index] =\
         training_data_labels[int(minimal_euclidean_distance_index)]