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License: MIT License
Python code for SGMCMC for Time Series SSMs
License: MIT License
Hello Christopher,
I have encountered issues when I try to run demo/synthetic/lgssm_demo.py.
Traceback (most recent call last):
File "demo/synthetic/lgssm_demo.py", line 94, in
sampler.sample_gibbs()
File "/Users/jay/Documents/research/sgmcmc_ssm_code/sgmcmc_ssm/models/lgssm/sampler.py", line 93, in sample_gibbs
prior=self.prior,
File "/Users/jay/Documents/research/sgmcmc_ssm_code/sgmcmc_ssm/sgmcmc_sampler.py", line 1680, in parameters_gibbs_sample
observations, latent_vars, **kwargs,
File "/Users/jay/Documents/research/sgmcmc_ssm_code/sgmcmc_ssm/models/lgssm/helper.py", line 520, in calc_gibbs_sufficient_statistic
Sx_prevprev = PsiT_prev.T.dot(PsiT_prev)
AttributeError: 'tuple' object has no attribute 'T'
My python version is 3.7.3. Could you please help me look at it? Thank you very much.
Best,
Wenjie
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