np.random.RandomState(1)

This is a function call to create a random number generator object from the NumPy library's random module. The argument "1" sets the seed for the random number generator, which means that subsequent calls to the generator will produce the same sequence of random numbers. This is useful for generating reproducible results in scientific computing and simulations.

相关问题

np.random.randomstate

在NumPy库中，np.random.RandomState是一个伪随机数生成器的类。通过创建一个RandomState对象，我们可以使用它的方法生成随机数。其中，传入的参数n是种子，只要种子相同，生成的随机数序列也相同。比如，np.random.RandomState(2)创建了一个种子为2的RandomState对象。我们可以使用它的rand()方法生成随机数。如下所示：

import numpy as np

rng = np.random.RandomState(2)
x = rng.rand(4)
print(x)

这段代码将生成一个长度为4的随机数序列，结果为。每次执行这段代码，得到的随机数序列都是相同的，因为种子参数是固定的。你也可以通过调用np.random.seed()函数来设置全局的随机数种子。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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np.random.RandomState

np.random.RandomState is a class in the NumPy library of Python that provides a container for a pseudo-random number generator (PRNG). It allows the user to create multiple independent instances of the PRNG with the same seed value, thus ensuring reproducibility of results. The methods of the RandomState class can be used to generate random numbers from various distributions such as uniform, normal, exponential, etc.