Python numpy machine Learning Library Use example

Installation

sudo yum install NumPy

From numpy Import *

Produces an array

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]])

Produce a matrix

>>> Randmat=mat (Random.rand (bis))

>>> 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]])

Matrix multiplication:

>>> 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]])

>>>

Matrix addition:

>>> 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) Create a unit matrix

Python numpy machine Learning Library Use example