10 examples of 'numpy linalg norm' in Python

50
def norm(vec):
51
    """ Calculate norm of a vector or list thereof
52
53
    Args:
54
        vec (Vector or List[Vector]): vector(s) to compute norm of
55
56
    Returns:
57
        Scalar or List[Scalar]: norms
58
    """
59
    if len(vec.shape) == 1:  # it's just a single column vector
60
        return np.sqrt(vec.dot(vec))
61
    else:  # treat as list of vectors
62
        return np.sqrt((vec*vec).sum(axis=1))

69
def norm2(arr):
70
    """Returns 1/2 the L2 norm squared."""
71
    return sdot(arr, arr) / 2

81
def norm_1(array):
82
    return np.linalg.norm(array, ord=1)

45
def l2_norm(a):
46
  ''' Scalar value of word frequency array (vector)'''
47
  return math.sqrt(dot(a, a))

186
def norm(self):
187
    """
188
    Return the norm of the vector.
189
    
190
    :rtype: :class:`float`
191
    """
192
    return sqrt(dot(self, self))

5
def norm(vec, axis=None):
6
    return np.sqrt(np.sum(vec**2, axis=axis))

71
def norm(v):
72
    """Returns an L2 norm of the vector."""
73
    return math.sqrt(numpy.sum((numpy.array(v)**2).flat))

1138
def norm(a):
1139
1140
    return sqrt(scalar_product(a, a))

63
def norm(v):
64
    squares = [float(x) * float(x) for x in v]
65
    total = sum(squares)
66
    sqrt = math.sqrt(total)
67
    return sqrt

40
@staticmethod
41
def norm(X):
42
    """
43
    Find the frobenius norm of a sparse matrix X
44
    """
45
    elements = X.data
46
    return numpy.sqrt((elements**2).sum())