如何在Python中實現/使用人工免疫系統（AIS）？

我是機器學習算法和分類技術的新手。
我已經創建了一個數據集，並使用sklearn模塊在python中訓練了SVM模型。
但現在我必須將我的方法從SVM更改爲artificial immune system。因此，我的問題是，我可以使用Python中是否有AIS模塊？就像Sklearn，它提供SVM。
如果沒有，我可以在哪裏找到一個示例或幫助實施？
以下是我的代碼SVM，以防萬一人需要它。如何在Python中實現/使用人工免疫系統（AIS）？

# In the name of GOD 
# SeyyedMahdi Hassanpour 
# [email protected] 
# SeyyedMahdihp @ github 

import numpy as np 
from sklearn import svm, model_selection 
import pandas as pd 
df = pd.read_csv('final_dataset123456.csv') 
x = np.array(df.drop(['label'], 1)) 
y = np.array(df['label']) 
x_train, x_test, y_train, y_test = model_selection.train_test_split(x, y, test_size=0.36, random_state=39) 
clf = svm.SVC() 
clf.fit(x_train, y_train) 
accuracy = clf.score(x_test, y_test) 
print(accuracy) 
ar = [0,0,0,0,0,0,0,0,0,0,0,0,0.2,0.058824,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0,0.020833,0.2,0.090909,0,0.032258,0,0,0,0,0,0.0625,0,0,0,0.058333,0,0,0.1,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] 
br = [0.5,1,1,0.254902,0.853933,1,1,0.254902,1,0.27451,0.2,1,0.4,0.176471,1,1,1,1,0.625,1,0.125,1,0.393939,0.857143,0.052632,1,0.75,0.847826,1,1,0.583333,0.7,1,1,1,0.729167,0.6,0.818182,1,0.193548,0.333333,1,0.674419,1,1,1,0.8,1,1,0.2,0.37037,1,0.8,0.529412,0.375,1,1,0.23913,1,1,1,1,0.666667,1,1,1,1,0,1,0,1,0.23913,0.7,0.7,1,1,1,1,1,1,1,1,0.23913,1,1,1,1,1,1,1,1,1,0.666667,1,0.7,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1] 
example_measures = np.array([ar,br]) 
example_measures = example_measures.reshape(len(example_measures), -1) 
prediction = clf.predict(example_measures) 
print(prediction)

來源

2017-05-07 Mahdi

在WEKA平臺上實現了許多人工免疫系統應用程序。你可以從sourceforge下載並使用它。這裏是鏈接： https://sourceforge.net/directory/?q=artificial+immune+system

來源

2018-03-04 08:07:11 mohamad

雖然這個鏈接可能回答這個問題，但最好在這裏包含答案的基本部分，並提供參考鏈接。如果鏈接頁面更改，則僅鏈接答案可能會失效。 - [來自評論]（/ review/low-quality-posts/18998947） –

如何在Python中實現/使用人工免疫系統（AIS）？

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