本文整理汇总了Python中bayespy.nodes.Mixture.get_moments方法的典型用法代码示例。如果您正苦于以下问题：Python Mixture.get_moments方法的具体用法？Python Mixture.get_moments怎么用？Python Mixture.get_moments使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类bayespy.nodes.Mixture的用法示例。
在下文中一共展示了Mixture.get_moments方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: print
# 需要导入模块: from bayespy.nodes import Mixture [as 别名]
# 或者: from bayespy.nodes.Mixture import get_moments [as 别名]
P.initialize_from_random()
X.observe(x)
Q.update(repeat=1000)
#print(" P:")
#print( P.get_moments() )
#print(" R:")
#print( R.get_moments() )
print(" Z:")
print( Z.get_moments() )
print(" X:")
print( X.get_moments() )
bpplt.hinton(R)
#bpplt.hinton(P)
#bpplt.hinton(Z)
bpplt.pyplot.show()
#pp = pprint.PrettyPrinter(indent=4)
#pp.pprint(X)
示例2: Categorical
# 需要导入模块: from bayespy.nodes import Mixture [as 别名]
# 或者: from bayespy.nodes.Mixture import get_moments [as 别名]
smoking = Categorical([0.5, 0.5])
lung = Mixture(smoking, Categorical, [[0.98, 0.02], [0.25, 0.75]])
bronchitis = Mixture(smoking, Categorical, [[0.97, 0.03], [0.08, 0.92]])
xray = Mixture(tuberculosis, Mixture, lung, Categorical,
_or([0.96, 0.04], [0.115, 0.885]))
dyspnea = Mixture(bronchitis, Mixture, tuberculosis, Mixture, lung, Categorical,
[_or([0.6, 0.4], [0.18, 0.82]),
_or([0.11, 0.89], [0.04, 0.96])])
# Mark observations
tuberculosis.observe(TRUE)
smoking.observe(FALSE)
bronchitis.observe(TRUE) # not a "chance" observation as in the original example
# Run inference
Q = VB(dyspnea, xray, bronchitis, lung, smoking, tuberculosis, asia)
Q.update(repeat=100)
# Show results
print("P(asia):", asia.get_moments()[0][TRUE])
print("P(tuberculosis):", tuberculosis.get_moments()[0][TRUE])
print("P(smoking):", smoking.get_moments()[0][TRUE])
print("P(lung):", lung.get_moments()[0][TRUE])
print("P(bronchitis):", bronchitis.get_moments()[0][TRUE])
print("P(xray):", xray.get_moments()[0][TRUE])
print("P(dyspnea):", dyspnea.get_moments()[0][TRUE])