my code is pretty simple, but when I try to multiply a 3x2 and 2x1 matrix, I get the following error (which, to me, makes no sense):
ValueError: operands could not be broadcast together with shapes (3,2) (2,1)
In this program, the first thing I do is randomly generate two points in the domain [-1,1] x [-1,1], and define a line by these points, using the variables slope
and y_int
. Then, I create N random x
values of the form {x_0, x_1, x_2} where x_0 is always 1, and x_1,x_2 are randomly generated numbers in the range [-1,1]. These N values comprise the x_matrix
in the code.
The y_matrix
is the classification of each of the values x_1,...,x_N. If x_1 is to the right of the random line specified by slope
and y_int
, then the value of y_1 is +1, and is otherwise -1.
Now, once x_matrix
and y_matrix
have been specified, I just want to multiply the pseudo-inverse of x_matrix
(pinv_x
in the code) by y_matrix
. This is where the error comes in. I'm at my wit's end and I cannot think of anything that could be wrong.
Any help is greatly appreciated. The code is below:
from numpy import *
import random
N = 2
# Determine target function f(x)
x_1 = [random.uniform(-1,1),random.uniform(-1,1)]
x_2 = [random.uniform(-1,1),random.uniform(-1,1)]
slope = (x_1[1] - x_2[1]) / (x_1[0] - x_2[0])
y_int = x_1[1] - (slope * x_1[0])
# Construct training data.
x_matrix = array([1, random.uniform(-1,1), random.uniform(-1,1)])
x_on_line = (x_matrix[1] / slope) - (y_int / slope)
if x_matrix[1] >= x_on_line:
y_matrix = array([1])
else:
y_matrix = array([-1])
for i in range(N-1):
x_val = array([1, random.uniform(-1,1), random.uniform(-1,1)])
x_matrix = vstack((x_matrix, x_val))
x_on_line = (x_val[1] / slope) - (y_int / slope)
if x_val[1] >= x_on_line:
y_matrix = vstack((y_matrix, array([1])))
else:
y_matrix = vstack((y_matrix, array([-1])))
pinv_x = linalg.pinv(x_matrix)
print y_matrix
print pinv_x
w = pinv_x*y_matrix