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HMM Example: Fixes AttributeError for invalid imports #100

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HMM Example: Fixes AttributeError for invalid imports #100

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16 changes: 8 additions & 8 deletions examples/hmm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,8 @@
import os
matplotlib.rcParams['font.size'] = 8

import pyhsmm
from pyhsmm import models
from pyhsmm.basic import distributions
from pyhsmm.util.text import progprint_xrange

print('''
Expand Down Expand Up @@ -43,8 +44,8 @@
'nu_0':obs_dim+2}

### HDP-HMM without the sticky bias
obs_distns = [pyhsmm.distributions.Gaussian(**obs_hypparams) for state in range(Nmax)]
posteriormodel = pyhsmm.models.WeakLimitHDPHMM(alpha=6.,gamma=6.,
obs_distns = [distributions.Gaussian(**obs_hypparams) for state in range(Nmax)]
posteriormodel = models.WeakLimitHDPHMM(alpha=6.,gamma=6.,
init_state_concentration=1.,
obs_distns=obs_distns)
posteriormodel.add_data(data)
Expand All @@ -56,8 +57,8 @@
plt.gcf().suptitle('HDP-HMM sampled model after 100 iterations')

### HDP-HMM with "sticky" initialization
obs_distns = [pyhsmm.distributions.Gaussian(**obs_hypparams) for state in range(Nmax)]
posteriormodel = pyhsmm.models.WeakLimitHDPHMM(alpha=6.,gamma=6.,
obs_distns = [distributions.Gaussian(**obs_hypparams) for state in range(Nmax)]
posteriormodel = models.WeakLimitHDPHMM(alpha=6.,gamma=6.,
init_state_concentration=1.,
obs_distns=obs_distns)

Expand All @@ -77,8 +78,8 @@

### Sticky-HDP-HMM

obs_distns = [pyhsmm.distributions.Gaussian(**obs_hypparams) for state in range(Nmax)]
posteriormodel = pyhsmm.models.WeakLimitStickyHDPHMM(
obs_distns = [distributions.Gaussian(**obs_hypparams) for state in range(Nmax)]
posteriormodel = models.WeakLimitStickyHDPHMM(
kappa=50.,alpha=6.,gamma=6.,init_state_concentration=1.,
obs_distns=obs_distns)
posteriormodel.add_data(data)
Expand All @@ -90,4 +91,3 @@
plt.gcf().suptitle('Sticky HDP-HMM sampled model after 100 iterations')

plt.show()