regress_demo_skel.py from matplotlib at Krugle

Show regress_demo_skel.py syntax highlighted


import numpy
from regress import regress

N = 1000
weight = 50+10*numpy.random.randn(N) # weight kgs
height = 150+20*numpy.random.randn(N) # height cm

alpha = 1.5
beta = 3.4
c = 60.

y = alpha * weight + beta * height + 5*numpy.random.randn(N) + c
X = numpy.ones((N,3), numpy.float_)
X[:,0] = weight
X[:,1] = height

#estimate the best fit params using B = (Xt X)^-1 Xt y; see numpy.matrix and
#numpy.linalg
XXX

See more files for this project here

matplotlib

Matplotlib is a pure python plotting library with the goal of making\r\npublication quality plots using a syntax familiar to matlab users. \r\nThe library uses Numeric for handling large\r\ndata sets and supports a variety of output backends

Project homepage: http://sourceforge.net/projects/matplotlib
Programming language(s): C,C++,Python
License: other

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