类型错误：“DiscreteFactor”对象不可下标

问题描述

我有一个要执行的贝叶斯算法程序，我使用的是 python 3

import numpy as np
import csv
import pandas as pd
from pgmpy.models import BayesianModel
from pgmpy.estimators import MaximumLikelihoodEstimator
from pgmpy.inference import VariableElimination


heartDisease = pd.read_csv('heart.csv')
heartDisease = heartDisease.replace('?',np.nan)

print('Few examples from the dataset are given below')
print(heartDisease.head())

model = BayesianModel([('age','trestbps'),('age','fbs'),('sex',('exang',('trestbps','heartdisease'),('fbs',('heartdisease','restecg'),'thalach'),'chol')])

print('\nLearning CPD using Maximum likelihood estimators')
model.fit(heartDisease,estimator=MaximumLikelihoodEstimator)

print('\n Inferencing with Bayesian Network:')
HeartDisease_infer = VariableElimination(model)

print('\n 1. Probability of HeartDisease given Age=28')
q=HeartDisease_infer.query(variables=['heartdisease'],evidence={'age':28})
print(q['heartdisease'])

print('\n 2. Probability of HeartDisease given cholesterol=100')
q=HeartDisease_infer.query(variables=['heartdisease'],evidence={'chol':100})
print(q['heartdisease'])

我在运行贝叶斯网络程序时收到的错误是：

TypeError                                 Traceback (most recent call last)
<ipython-input-7-84a6b48627b2> in <module>
     23 print('\n 1. Probability of HeartDisease given Age=28')
     24 q=HeartDisease_infer.query(variables=['heartdisease'],evidence={'age':28})
---> 25 print(q['heartdisease'])
     26 
     27 print('\n 2. Probability of HeartDisease given cholesterol=100')

TypeError: 'DiscreteFactor' object is not subscriptable

到目前为止，我还没有在 stackoverflow 上看到这个确切的错误。谁能解释为什么我会收到这个错误？

解决方法

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