我正试图弄清楚如何在python中实现montecarlo函数,使用pymc复制douglashubbard在他的书How to Measure Anything中的电子表格
我的尝试是:
import numpy as np
import pandas as pd
from pymc import DiscreteUniform, Exponential, deterministic, Poisson, Uniform, Normal, Stochastic, MCMC, Model
maintenance_saving_range = DiscreteUniform('maintenance_saving_range', lower=10, upper=21)
labour_saving_range = DiscreteUniform('labour_saving_range', lower=-2, upper=9)
raw_material_range = DiscreteUniform('maintenance_saving_range', lower=3, upper=10)
production_level_range = DiscreteUniform('maintenance_saving_range', lower=15000, upper=35000)
@deterministic(plot=False)
def rate(m = maintenance_saving_range, l = labour_saving_range, r=raw_material_range, p=production_level_range):
return (m + l + r) * p
model = Model([rate, maintenance_saving_range, labour_saving_range, raw_material_range, production_level_range])
mc = MCMC(model)
很遗憾,我收到一个错误:ValueError: A tallyable PyMC object called maintenance_saving_range already exists. This will cause problems for some database backends.
我怎么了?在
啊,这是一个复制粘贴错误。在
我叫了三个同名的发行版。在
这是有效的代码。在
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