weilinear

# Change the include line in Makefile
INCLUDES := -DCUDA_5 -I$(PYTHON_INCLUDE_PATH) -I$(NUMPY_INCLUDE_PATH) -I$(CUDA_SDK_PATH) -I./include -I./include/common -I./include/cudaconv2 -I./include/nvmatrix -I./dummyinclude/

weilinear

from scipy.sparse import csr_matrix
from sklearn.metrics.pairwise import manhattan_distances

A = csr_matrix(np.array([[1,2,3],[8,9,0]],dtype=np.float))
B = csr_matrix(np.array([[1,2,4],[3,4,5]],dtype=np.float))

C = manhattan_distances(A, B)

weilinear

import numpy as np
from sklearn.utils import validation

a = np.ones([10,10], dtype=np.uint)
b = np.ones([10,10], dtype=np.uint)
c = np.ones([10,10], dtype=np.int)
d = np.ones([10,10], dtype=np.bool)

validation.warn_if_not_float(a)

weilinear

def _centers(X, labels, n_clusters, distances):
    """M step of the K-means EM algorithm

    Computation of cluster centers / means.

    Parameters
    ----------
    X: array, shape (n_samples, n_features)

    labels: array of integers, shape (n_samples)

weilinear

% Compile the PROPACK package
% Copyright LI, Wei(@kuantkid)

% detect gfortran
switch (lower(computer))
  case 'glnxa64'
    fc = 'gfortran';
    suffix = 'mexa64';
  case 'glnxa32'
    fc = 'gfortran';