def demo():
mode = 2
outs = '../output/'
ins_gfeat = '../example/outd2hub_feature'
outs = '../output/'
ofn_hist = 'histogram.out'
ofn_node2hcel = 'node2hcel.out'
ofn_hcel2avgfeat = 'hcel2avgfeat.out'
ofn_heatmap = 'heatmap.png'
x_lab, y_lab = [
"Hubness", "Out-degree"
] # ["Authority", "In-degree"], ["PageRank", "Degree"], ["Degree", "Triangles"]
loader = Loader()
m, _, gfts = loader.load_features(ins_gfeat, float)
histogram_construct(gfts[:m], 1, outs + ofn_hist, outs + ofn_node2hcel,
outs + ofn_hcel2avgfeat, mode)
histogram_view(outs + ofn_hist, x_lab, y_lab, outs + ofn_heatmap)
csr_mat = csr_matrix((hist_arr[:, -1], (hist_arr[:, 0], hist_arr[:, 1])),
shape=_shape_,
dtype=int)
plot_heatmap(ticks_vec[1],
ticks_vec[0],
csr_mat.toarray(),
xlabel=xlabel,
ylabel=ylabel,
outfn=outfn)
# plot_heatmap_graphlab_pgrk(ticks_vec[1], ticks_vec[0], csr_mat.toarray(), xlabel=xlabel, ylabel=ylabel, outfn=outfn)
# plot_heatmap_2discretes(ticks_vec[1], ticks_vec[0], csr_mat.toarray(), xlabel=xlabel, ylabel=ylabel, outfn=outfn)
print('Histogram view done!')
if __name__ == '__main__':
ins_gfeat = '../example/outd2hub_feature'
outs = '../output/'
outs_hist = 'histogram.out'
ofn_node2hcel = 'node2hcel.out'
ofn_hcel2avgfeat = 'hcel2avgfeat.out'
ofn_heatmap = 'heatmap.png'
x_lab, y_lab = ["Hubness", "Out-degree"]
# ["Authoritativeness", "In-degree"], ["PageRank", "Degree"], ["Degree", "Triangles"]
mode = 2
loader = Loader()
m, _, gfts = loader.load_features(ins_gfeat, float)
histogram_construct(gfts[:m], 1, outs + outs_hist, outs + ofn_node2hcel,
outs + ofn_hcel2avgfeat, mode)
histogram_view(outs + outs_hist, x_lab, y_lab, outs + ofn_heatmap)