Hello, Guys,
I have a question about the linear_least_squares in Numpy.
My linear_least_squares cannot give me the results.
I use Numpy1.0. The newest version. So I checked online and get your
guys some examples.
I did like this.
[EMAIL PROTECTED] 77] ~ >> py
Python 2.4.3 (#1, May 18 2006, 07:40:45)
[GCC 3.3.3 (cygwin special)] on cygwin
Type "help", "copyright", "credits" or "license" for more information.
from Numeric import *
from LinearAlgebra import linear_least_squares
from Matrix import *
y = Matrix([[1], [2], [4]])
x = Matrix([[1, 1], [1, 2], [1, 3]])
print y
Matrix([[1],
[2],
[4]])
x
Matrix([[1, 1],
[1, 2],
[1, 3]])
print linear_least_squares(x, y)
Here my Numpy stops. and never give me a result. THis is the problem of
Numpy or sth wrong.
Can you guys give me a LinearAlgebra.py so that I can have a try?
Thanks,
John
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