import numpy as np
from numpy import random as rad
| Generate random matrix |
Explanation |
| rad.seed(n), n is an integer |
Determine the random number generation seed |
| rad.rand(n), n is an integer |
Generate n uniformly distributed sample values (0, 1) |
| rad.randint (begin, end, n) |
Generate n random integers from the given range (begin,end) |
| rad.randn(N,M,...) |
Generate a normal distribution matrix of N*M*... (mean value is 0, standard deviation is 1) |
| rad.normal(size=(N,M,...)) |
Generate other normal distribution matrices of N*M*... |
| rad.uniform(min,max) |
Generate a randomly distributed sample value in the range of (min,max) |
| rad.beta (array1, array2) |
Generate the sample value of the beta distribution, the parameter must be greater than 0 |
| rad.gamma () |
Generate sample values of gamma distribution |