本文整理匯總了Python中distributions.Poisson方法的典型用法代碼示例。如果您正苦於以下問題：Python distributions.Poisson方法的具體用法？Python distributions.Poisson怎麽用？Python distributions.Poisson使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類distributions的用法示例。
在下文中一共展示了distributions.Poisson方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: spikify_rates
# 需要導入模塊: import distributions [as 別名]
# 或者: from distributions import Poisson [as 別名]
def spikify_rates(rates_bxtxd):
"""Randomly spikify underlying rates according a Poisson distribution
Args:
rates_bxtxd: a numpy tensor with shape:
Returns:
A numpy array with the same shape as rates_bxtxd, but with the event
counts.
"""
B,T,N = rates_bxtxd.shape
assert all([B > 0, N > 0]), "problems"
# Because the rates are changing, there is nesting
spikes_bxtxd = np.zeros([B,T,N], dtype=np.int32)
for b in range(B):
for t in range(T):
for n in range(N):
rate = rates_bxtxd[b,t,n]
count = np.random.poisson(rate)
spikes_bxtxd[b,t,n] = count
return spikes_bxtxd