ValueError: Invalid arguments were passed to kmeans_cuda for metric="cos"

[mahfuzmohammad]

Hi,
I am trying to run the following example:

import numpy
from matplotlib import pyplot
from libKMCUDA import kmeans_cuda

numpy.random.seed(0)
arr = numpy.empty((10000, 2), dtype=numpy.float32)
angs = numpy.random.rand(10000) * 2 * numpy.pi
for i in range(10000):
arr[i] = numpy.sin(angs[i]), numpy.cos(angs[i])
centroids, assignments, avg_distance = kmeans_cuda(
arr, 4, metric="cos", verbosity=1, seed=3, average_distance=True)
print("Average distance between centroids and members:", avg_distance)
print(centroids)
pyplot.scatter(arr[:, 0], arr[:, 1], c=assignments)
pyplot.scatter(centroids[:, 0], centroids[:, 1], c="white", s=150)

But I am getting the error: ValueError: Invalid arguments were passed to kmeans_cuda

[randomrain101]

Apparently the cos metric only works for np.float16 dtype, not np.float32?
(notice: when using np.float16 the number of features has to be even, as discussed in #86 )

[davidlainesv]

In my case, I was able to use metric="cos" after doing

import numpy as np
from sklearn.preprocessing import normalize

X = normalize(data.values, norm='l2')

I suggest you to run the script in the terminal because jupyter hides part of the error message