How to use the bmf function to obtain a binary matrix?

[wellfrogliu]

I read the introdcution for the bmf function in nimfad and it's great! But when i used bmf function, i could not get binary matrix w. My code is :
`import numpy as np
import nimfa

V = np.random.rand(23, 200)

bmf = nimfa.Bmf(V, max_iter=10, rank=30, n_run=3, track_factor=True)
bmf_fit = bmf()

print('K-L divergence: %5.3f' % bmf_fit.distance(metric='kl'))

sm = bmf_fit.summary()
print('Rss: %5.3f' % sm['rss'])
print('Evar: %5.3f' % sm['evar'])
print('Iterations: %d' % sm['n_iter'])
print('Cophenetic correlation: %5.3f' % sm['cophenetic'])
W = bmf_fit.basis()
print('Basis matrix:\n%s' % W)`

The W matrix was not binary . When i changed V matrix into binary matrix, the w matrix is still not binary matrix.
Can someone help me how can get binary matrix.? Thank you!