10 examples of 'numpy linalg norm' in Python

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50def 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))
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69def norm2(arr):
70 """Returns 1/2 the L2 norm squared."""
71 return sdot(arr, arr) / 2
81def norm_1(array):
82 return np.linalg.norm(array, ord=1)
45def l2_norm(a):
46 ''' Scalar value of word frequency array (vector)'''
47 return math.sqrt(dot(a, a))
186def norm(self):
187 """
188 Return the norm of the vector.
189
190 :rtype: :class:`float`
191 """
192 return sqrt(dot(self, self))
5def norm(vec, axis=None):
6 return np.sqrt(np.sum(vec**2, axis=axis))
71def norm(v):
72 """Returns an L2 norm of the vector."""
73 return math.sqrt(numpy.sum((numpy.array(v)**2).flat))
1138def norm(a):
1139
1140 return sqrt(scalar_product(a, a))
63def 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
41def 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())

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