import random
import math
import time
import csv
class AIRS:
"""AIRS (Artificial Immune Recognition System) class
Main class for this algorithm
Params:
hyper_clonal_rate (float) : Define the number of clones an ARB is allowed to produce
clonal_rate (float) : Define the number of ressources an ARB can obtain
class_number (int) : The number of classes (3 in this case)
mc_init_rate (float) : Define the number of training data to be copied in memory cells
total_num_resources (float) : The total numbers of resources to share between ARBs
affinity_threshold_scalar (float) : Give a cut-off value for cell replacement
k (int) : The number of memory cells to use for classification
test_size (float) : The percentage of global data to take as test data
"""
def __init__(self, hyper_clonal_rate, clonal_rate, class_number, mc_init_rate,
total_num_resources, affinity_threshold_scalar, k, test_size):
self.HYPER_CLONAL_RATE = hyper_clonal_rate
self.CLONAL_RATE = clonal_rate
self.AFFINITY_THRESHOLD = 0
self.CLASS_NUMBER = class_number
self.MC_INIT_RATE = mc_init_rate
self.TOTAL_NUM_RESOURCES = total_num_resources
self.AFFINITY_THRESHOLD_SCALAR = affinity_threshold_scalar
self.TEST_SIZE = test_size
self.K = k
self.MC = None
self.AB = None
@staticmethod
def affinity(vector1, vector2):
"""Compute the affinity (Normalized !! distance) between two features vectors
:param vector1: First features vector
:param vector2: Second features vector
:return: The affinity between the two vectors [0-1]
"""
d = 0
for i, j in zip(vector1, vector2):
d += (i - j) ** 2
euclidian_distance = math.sqrt(d)
return euclidian_distance / (1 + euclidian_distance)
def train_test_split(self):
with open("/Users/user_name/Downloads/iris.data", "r") as data:
content = data.readlines()
ret = (((float(x.split[","][i]) for i in range(4)), mapping(x.split[","][4][:-1])) for x in content)
random.seed()
random.shuffle(ret)
return ret[:int((1 - self.TEST_SIZE) * len(ret))], ret[int((1 - self.TEST_SIZE) * len(ret)):]
When I run these code, I got a error like this
File "/Users/user_name/.spyder-py3/AIRS.py", line 67, in train_test_split
random.shuffle(ret)
File "/Users/user_name/anaconda3/lib/python3.7/random.py", line 275, in shuffle
for i in reversed(range(1, len(x))):
TypeError: object of type 'generator' has no len()
Could anybody help me please? Cause I didn't understand what I should do.
NOTE: I cloned this code from https://github.com/AghilesAzzoug/Artificial-Immune-System/blob/master/main.py
The working of range has changed over the years. It originally returned a list, now it returns a generator. Just turn the generator into a list.
ret = list(ret)
random.shuffle(ret)