def run_time(self, Vt, Wt=None, Zt=None, Ht=None, niter=5):
self.time_analyzer.V = Vt
if Wt is None or Zt is None or Ht is None:
initW, initZ, initH = self.time_analyzer.initialize()
if Wt is None: Wt = initW
if Zt is None: Zt = initZ
if Ht is None: Ht = initH
for iter in xrange(niter):
logprob, WZH = self.time_analyzer.do_estep(Wt, Zt, Ht)
logger.info('Iteration t%d: logprob = %f', iter, logprob)
Wt, Zt, Ht = self.time_analyzer.do_mstep(iter)
assert Wt.ndim == 3
assert Zt.ndim == 1
assert Ht.ndim == 2
# Ht : (rank, rank*F*T)
# Ht_sum : (rank, F*T)
meta_Ht = self.sum_pieces(Ht)
Htt = meta_Ht.reshape(self.rank, self.f_steps, self.t_steps)
Hmax = np.max(Htt)
plt.clf()
plt.imshow(np.rollaxis(Htt[0:3]/Hmax*2, 0, 3), origin='lower', aspect='auto', interpolation='nearest')
plt.draw()
meta_logprob, meta_WZH = self.meta_time_analyzer.do_estep(Wt, Zt, meta_Ht)
logger.info('Meta t%d: logprob = %f', iter, logprob)
meta_Wt, meta_Zt, meta_Ht = self.meta_time_analyzer.do_mstep(0)
return Wt, Zt, Ht, meta_Ht
def run_freq(self, Vf, Wf=None, Zf=None, Hf=None, niter=5):
self.freq_analyzer.V = Vf
if Wf is None or Zf is None or Hf is None:
initW, initZ, initH = self.freq_analyzer.initialize()
if Wf is None: Wf = initW
if Zf is None: Zf = initZ
if Hf is None: Hf = initH
for iter in xrange(niter):
logprob, WZH = self.freq_analyzer.do_estep(Wf, Zf, Hf)
logger.info('Iteration f%d: logprob = %f', iter, logprob)
Wf, Zf, Hf = self.freq_analyzer.do_mstep(iter)
plt.clf()
plt.plot(Wf[...,0])
plt.draw()
# Hf : (rank, F, rank*T)
# Hf_sum : (rank, F, T)
meta_Hf = self.sum_pieces(Hf)
meta_logprob, meta_WZH = self.meta_freq_analyzer.do_estep(
Wf, Zf, meta_Hf)
logger.info('Meta f%d: logprob = %f', iter, logprob)
meta_Wf, meta_Zf, meta_Hf = self.meta_freq_analyzer.do_mstep(0)
return Wf, Zf, Hf, meta_Hf
