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python numpy 机器学习的库使用示例
安装
sudo yum install numpy
from numpy import *
产生一个数组
random.rand(4,5)
result:
array([[ 0.79056842, 0.31659893, 0.34054779, 0.97328131, 0.32648329],
[ 0.51585845, 0.70683055, 0.31476985, 0.07952725, 0.80907845],
[ 0.81623517, 0.61038487, 0.66679161, 0.77412742, 0.03394483],
[ 0.41758993, 0.54425978, 0.65350633, 0.90397197, 0.72706079]])
产生一个矩阵
>>> randMat=mat(random.rand(4,4))
>>> randMat.I
matrix([[ 1.72265179, 0.82071484, 0.8218207 , -3.20005387],
[ 0.60602642, -1.2873106 , 0.4826296 , 0.61948819],
[-1.58733496, 0.1095752 , 0.88187595, 1.44921728],
[-0.97809315, 0.25648172, -1.44365489, 2.67132684]])
矩阵相乘:
>>> invRandMat=randMat.I
>>> randMat.I*invRandMat
matrix([[ 5.29035012, -0.37341318, 7.15632948, -12.3615484 ],
[ -1.10818373, 2.3663151 , -0.59195686, -0.38250032],
[ -5.48532196, -0.9754772 , -2.56608491, 10.29680078],
[ -1.85072184, -0.60594947, -5.80963009, 8.33265564]])
>>>
矩阵相加:
>>> randMat.I+invRandMat
matrix([[ 3.44530359, 1.64142968, 1.6436414 , -6.40010773],
[ 1.21205284, -2.57462121, 0.9652592 , 1.23897638],
[-3.17466991, 0.2191504 , 1.7637519 , 2.89843456],
[-1.9561863 , 0.51296344, -2.88730977, 5.34265368]])
>>> myEye=randMat.I*invRandMat
>>> myEye-eye(4)
matrix([[ 4.29035012, -0.37341318, 7.15632948, -12.3615484 ],
[ -1.10818373, 1.3663151 , -0.59195686, -0.38250032],
[ -5.48532196, -0.9754772 , -3.56608491, 10.29680078],
[ -1.85072184, -0.60594947, -5.80963009, 7.33265564]])
>>>
eye(4) 创建一个单位矩阵
python numpy 机器学习的库使用示例