Question

我正在研究Bayessian analysis with python这本书，并尝试在python中实现所有代码，为此，我使用了谷歌合作实验室（google colab），但是当我运行本书中的以下代码时

import arviz
import pymc3 as pm
import numpy as np
from scipy import stats
np.random.seed(123)
n_experiments=4
theta_real =0.35
data =stats.bernoulli.rvs(p=theta_real,size=n_experiments)
with pm.Model()  as our_first_model:
    theta =pm.Beta('theta',alpha=1,beta=1)
    y =pm.Bernoulli('y',p=theta,observed=data)
    start =pm.find_MAP()
    step =pm.Metropolis()
    trace =pm.sample(1000,step=step,start=start)
    burnin=100
    chain =trace[burnin:]
    pm.traceplot(chain,lines={'theta':theta_real})

它给出了这样的错误：

AttributeError: Installed version of ArviZ requires PyMC3>=3.8. Please upgrade with `pip install pymc3>=3.8` or `conda install -c conda-forge pymc3>=3.8`

在我尝试实现这些库之前

!pip install pymc3>=3.8
!pip install arviz

但仍然没有成功。如何解决此错误？

Answer 1

您是否尝试过重启会话？使用public function execute(\Magento\Framework\Event\Observer $observer) { if($observer->getEvent()->getMethodInstance()->getCode()=="cashondelivery"){ $checkResult = $observer->getEvent()->getResult(); $checkResult->setData('is_available', true); }else{ $objectManager = \Magento\Framework\App\ObjectManager::getInstance(); $cart = $objectManager->get('\Magento\Checkout\Model\Cart'); $items = $cart->getItems(); $flag = 0; $count=0; foreach($items as $item){ $attribute1 = $item->getProduct()->getData('otherthancod'); if($attribute1){ $flag++; $count++; }else{ $flag--; } } if($flag == $count){ $checkResult = $observer->getEvent()->getResult(); $checkResult->setData('is_available', true); }else{ $checkResult = $observer->getEvent()->getResult(); $checkResult->setData('is_available', false); } } }升级后，您将必须重新启动会话，然后再执行function * zip(arr1, arr2, i = 0) { while(arr1[i]) yield [ arr1[i], arr2[i++] ]; } [ ...zip(arr1, arr2) ] // result，否则它将仍然考虑以前安装的版本。

Google colab存在一些与贝叶斯分析和相应库有关的问题

1 个答案: